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1
Elamin, Mustafa Osman I., and Osman M. O. Ismaiel. "The AI Revolution in Cybersecurity: Transforming Threat Detection, Defense Mechanisms, and Risk Management in the Digital Era." International Journal of Religion 6, no. 1 (2025): 228–46. https://doi.org/10.61707/1dmvn671.
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The rapid integration of Artificial Intelligence (AI) in cybersecurity has redefined traditional security protocols, providing advanced mechanisms to combat increasingly sophisticated cyber threats. This article investigates the transformative role of AI in enhancing cybersecurity by focusing on three core areas: threat detection, defence mechanisms, and risk management. The primary aim is to assess how AI technologies—specifically machine learning, deep learning, and natural language processing—can improve the detection, prevention, and mitigation of cyber threats beyond traditional methods. By leveraging AI-driven solutions, cybersecurity can anticipate emerging threats, quickly adapt defensive strategies, and significantly reduce response times. To achieve this, the study will analyse recent advances in AI applications within cybersecurity, using a systematic literature review and case study analysis. The literature review will highlight existing knowledge gaps, explore the current limitations of conventional cybersecurity measures, and identify how AI fills these gaps. Case studies of real-world AI deployment in cybersecurity will be critically examined to understand the practical effectiveness and challenges associated with these technologies. The expected results include an in-depth understanding of AI's specific advantages in threat detection accuracy, predictive analysis, and anomaly identification. Furthermore, we anticipate uncovering key limitations and ethical considerations, such as data privacy issues, potential biases in AI algorithms, and the risk of adversarial attacks exploiting AI vulnerabilities. By examining these aspects, the article aims to present a balanced perspective on the future of AI in cybersecurity, suggesting critical improvements and policy recommendations.
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Czeczot, Grzegorz, Izabela Rojek, Dariusz Mikołajewski, and Belco Sangho. "AI in IIoT Management of Cybersecurity for Industry 4.0 and Industry 5.0 Purposes." Electronics 12, no. 18 (2023): 3800. http://dx.doi.org/10.3390/electronics12183800.
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If we look at the chronology of transitions between successive stages of industrialization, it is impossible not to notice a significant acceleration. There were 100 years between the industrial revolutions from 2.0 to 3.0, and only half a century passed from the conventional 3.0 to 4.0. Assuming that progress will inevitably continue to accelerate, and given that 2011 is the set date for the start of the fourth industrial revolution, we can expect Industry 5.0 by 2035. In recent years, Industrial Internet of Things (IIoT) applications proliferated, which include multiple network elements connected by wired and wireless communication technologies, as well as sensors and actuators placed in strategic locations. The significant pace of development of the industry of advantages in predicting threats to infrastructure will be related to the speed of analyzing the huge amount of data on threats collected not locally, but globally. This article sheds light on the potential role of artificial intelligence (AI) techniques, including machine learning (ML) and deep learning (DL), to significantly impact IIoT cyber threat prediction in Industry 5.0.
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Denysenko, Iryna, Volodymyr Chalapko, Roman Zorkin, Petro Fivkin, and Iryna Ushno. "Spiritual security of Ukrainian society in the conditions of information warfare." Revista Amazonia Investiga 13, no. 84 (2024): 279–90. https://doi.org/10.34069/ai/2024.84.12.18.
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The essential characteristics of the spiritual security of Ukrainian society are analyzed. It is noted that spiritual security is a system-forming factor in the development of a democratic state in Ukraine in the conditions of an information war and a full-scale Russian invasion. The sources of threats and the main threats to the spiritual security of the national society caused by the information war are revealed. The value bases of the spiritual security of the Ukrainian state have been studied. Dialectical, structural-functional and comparative methods were used in the research process. The article states that the spiritual security of the national society is aimed at protecting national values and development priorities, the mental and civilizational basis of the existence of the Ukrainian people and preserving its cultural identity in the global processes of modernity. The conclusion is drawn that the restructuring of the hierarchy of values in the consciousness of Ukrainian citizens, as the basis for the existence of spiritual security, occurred most intensively during pivotal historical events – the Orange Revolution (2004-2005), the Revolution of Dignity (2013-2014), and the Russo-Ukrainian War of 2022.
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Aiello, Marco. "The AI Revolution and the Future of Work: Threats and Opportunities." Computer 57, no. 5 (2024): 29–34. http://dx.doi.org/10.1109/mc.2024.3374279.
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Kim, Joosung, Soo Hyun Kim, and Inwhee Joe. "AI-Based RPA’s Work Automation Operation to Respond to Hacking Threats Using Collected Threat Logs." Applied Sciences 14, no. 22 (2024): 10217. http://dx.doi.org/10.3390/app142210217.
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With the rapid acceleration of the Fourth Industrial Revolution, cyber threats have become increasingly frequent and complex. However, most public and private institutions still rely heavily on manual cybersecurity operations, which often lead to delayed responses and human errors, exposing critical vulnerabilities. A particular challenge lies in the inability to efficiently integrate and automate the analysis of threat logs collected from various sources, limiting the effectiveness of threat prediction and mitigation. To address these challenges, this study proposes an AI-based RPA (Robotic Process Automation) system designed to automate the collection, analysis, and dissemination of cyber threat logs. By minimizing human intervention, the proposed system significantly enhances real-time response capabilities and reduces errors. Additionally, standardizing and centralizing diverse log formats lays a foundation for the future development of AI models capable of predicting cyberattack patterns. This system is particularly well-suited for government and public organizations, offering a cost-effective solution that enhances cybersecurity while maintaining compatibility with existing infrastructures. The experimental results demonstrate that the proposed AI-based RPA system outperforms traditional manual systems in terms of log processing speed, prediction accuracy, and error reduction. This study highlights the critical role of automated AI-driven systems in enabling real-time threat response and prevention, presenting a practical and scalable approach for modern cybersecurity environments.
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Yawale, Prof Pratik S. "Applications of AI." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3931–33. http://dx.doi.org/10.22214/ijraset.2024.60822.
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Abstract: Artificial Intelligence (AI) is a revolution in computer science that will become an integral part of all modern software in the coming years and decades. This situation creates opportunities as well as threats. Artificial intelligence will be used to improve defense and cybercrime. Additionally, new cyberattack techniques have been developed to exploit specific weaknesses in intelligence technology. Artificial intelligence is a broad field of computing that enables understanding, reasoning and action. The amount of information created by humans and machines today exceeds the human ability to absorb this information, interpret it and make complex decisions based on it. This article explores the characteristics, uses, development and success of artificial intelligence.
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Aditya, Septian Dhika, Achmad Farid Wadjdi, and Danang Rimbawa. "Enhancing Cyber Defense Capabilities through AI Technology." East Asian Journal of Multidisciplinary Research 4, no. 3 (2025): 985–1004. https://doi.org/10.55927/eajmr.v4i3.85.
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The development of cyber threats is impacting vital communications infrastructure, with a focus on 5G security, AI, and international cooperation. The purpose of this study is to analyze Enhancing Cyber Defense Capabilities through AI Technology. The research method used in this study is qualitative descriptive. The results of this study show that: First, the use of advanced AI technology in every aspect of the TNI will improve the overall security of the application. AI technology is able to detect and respond to cyber threats quickly and accurately, strengthening operational capabilities on land, sea, air, cyber, and space. Second, the integration of AI in the defense system through the Fourth Industrial Revolution will increase the efficiency and effectiveness of TNI operations in various dimensions. AI aids in the detection, analysis, and response to threats, strengthens decision-making capabilities in the field, and improves the combat readiness of troops. Third, the launch of STRANAS-KA is the foundation for the development of AI experts in the TNI, improving technical and managerial capabilities in AI to optimize the use of AI technology in defense operations. Finally, collaboration with the private sector enables the development of innovative AI solutions in defense operations, improves operational efficiency, and strengthens national resilience against increasingly complex and sophisticated cyber threats.
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Saleh, Hussein Abdulkhaleq. "Securing the Future: Concise Strategies for Mitigating Security and Control Threats Accompanying the AI Revolution." Dijlah Journal 6, no. 4 (2023): 295–306. https://doi.org/10.5281/zenodo.15383073.
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Vöpel, Henning. "Die „unmenschliche“ Revolution – Künstliche Intelligenz als Schicksalstechnologie für Deutschland und Europa." Wirtschaftsdienst 103, no. 8 (2023): 513–17. http://dx.doi.org/10.2478/wd-2023-0148.
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Abstract Artificial intelligence defines a new age of technological and economic progress, but also causes disruptive effects on business models, industries, and the society in general. It is argued that in order to make AI a productive and progressive technology regulatory as well as educational requirements must first be matched. Threats and opportunities must be weighed up in advance. Given the coincidence of geo-political shift and industrial transformation, becoming a leading and competitive player in the game of AI is key for the German and European economy. In order to do so, AI must be developed both in a responsible as well as innovative way. Otherwise, Germany and Europe would lose ground against China and the US at the beginning of a new age of progress.
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Papp, János Tamás. "Adapting to Change: AI’s Potential Impacts on Journalism." Pázmány Law Review 11, no. 1 (2024): 17–31. https://doi.org/10.55019/plr.2024.1.17-31.
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This article examines the transformative impact of the fourth industrial revolution on communication, particularly focusing on artificial intelligence (AI) in journalism. The proliferation of AI technologies has revolutionized how news is searched, produced, disseminated, and managed, enhancing communication flows and personalization. Despite historical resilience through various technological upheavals, local journalism faces unprecedented challenges due to the disruption of traditional business models by the internet, leading to significant declines in print circulation and advertising revenues. The advent of generative AI, exemplified by tools like ChatGPT, offers both opportunities and threats. While AI can automate routine tasks, enhance multimedia storytelling, and increase operational efficiency, it also raises ethical concerns, risks of misinformation, and potential job losses. The article emphasizes the need for responsible AI integration, continuous journalist training, and regulatory frameworks to ensure that AI sooner enhances than undermines journalistic integrity and democracy. Furthermore, the reliance on AI by media organizations could threaten financial stability and necessitate innovative business models and government regulations to ensure fair compensation and intellectual property protection. Despite these challenges, AI presents opportunities for innovation in journalism, emphasizing the importance of balancing technological advancement with ethical considerations.
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Vinogradova, Ekaterina. "Artificial intelligence technologies and the rise of cyber threats in Latin America." Latinskaia Amerika, no. 3 (2023): 34. http://dx.doi.org/10.31857/s0044748x0024415-5.
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Artificial Intelligence (AI) technologies have been a real revolution and breakthrough in the world of virtual communication for modern society. Latin American countries are just beginning to adopt this type of technology to achieve the smart government paradigm and accelerate the pace of building a digital economy. A number of countries in the Latin American region are investing in strategies to develop AI technologies, focusing on improving economic development, with significant efforts to create a broader cooperation network at the regional level. The Economic Commission for Latin America and the Caribbean (ECLAC) also has been striving for several years to harness the huge potential of AI, including the digital transformation of the public sector. The global concept of cybersecurity becomes particularly relevant due to the increasing use of cyberspace as a virtual environment for political, economic, social and cultural interaction. To date, cybersecurity has become an important issue for national strategies of Latin American countries due to the increasing incidence of malicious use of AI in the political and economic life of the region. The purpose of this study is to demonstrate main dimensions of national strategies for the implementation of AI in the public sector in Latin America and to identify the main cyber tools aimed at undermining national security and putting political actors out of work.
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Kim, Dugsam, and Kyungja Lee. "The evolution of humans and AI, Reflections on connections." Global Knowledge and Convergence Association 7, no. 1 (2024): 109–35. http://dx.doi.org/10.47636/gkca.2023.7.1.109.
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This paper is about the ‘The evolution of humans and AI, Reflections on connections’. To do so, we first look at technology and change. Today’s technological change is different and unfamiliar from the past. If the changes of the Industrial Revolution tested our physical capabilities, the changes of today threaten our mental capabilities. We trace the changes caused by human-centered thinking and human-made technology, and focus on the evolution of AI, which threatens human values. These issues have made humanity clearly aware of its limitations. While humanity has had its problems, it has also developed human communities through connectivity. With this in mind, this book addresses coexistence and creation through connectivity. In doing so, we make two recommendations. First, human-to-human connections to prepare for the pace of development that has already begun. The second is to prepare for the pace of development that has already begun. It is time to actively explore and prepare for the ideal connection between humanity and AI. Before the problems facing humanity, the threats and utilization of AI are intentionally exploited by certain countries or certain groups, we will need to prepare for common development by cooperating in human-to-human connection. In doing so, connectivity will embrace new advances in science and technology and drive human evolution.
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Ismaeil, Mohamed Kamal Aldin. "Harnessing AI for Next-Generation Financial Fraud Detection: A Data-Driven Revolution." Journal of Ecohumanism 3, no. 7 (2024): 811–21. http://dx.doi.org/10.62754/joe.v3i7.4248.
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Artificial Intelligence in Financial Fraud Detection: A Comprehensive Approach to Enhancing Financial Security The rise of artificial intelligence (AI) offers an opportunity to significantly strengthen financial security by combating financial fraud, which has become increasingly complex and widespread. Traditional detection methods are often insufficient in identifying and preventing fraudulent activities, prompting a shift towards AI-based solutions. This study explores the application of AI, particularly machine learning algorithms, in improving the accuracy and efficiency of fraud detection. By analyzing large financial datasets, AI can detect anomalies that may indicate fraudulent behavior more effectively than traditional approaches. This research adopts a two-phase methodology. The first phase involves a thorough review of existing financial fraud detection methods, comparing traditional techniques with AI-based models to identify gaps. Various machine learning approaches, including supervised, unsupervised, and deep learning algorithms, are reviewed for their effectiveness in detecting fraud. The second phase involves developing and testing an AI model to identify fraudulent patterns within transactional data. The model uses machine learning algorithms to process vast datasets and detect deviations from typical financial behaviors, flagging potentially fraudulent activities. The expected results indicate that AI systems can outperform traditional fraud detection methods by significantly reducing false positives and improving the detection rate of genuine fraud. This reduction in false positives is vital for financial institutions, as it reduces unnecessary investigations and saves valuable resources. Additionally, enhanced fraud detection protects both institutions and consumers from financial losses.The findings of this study aim to provide financial institutions with practical insights into the implementation of AI-driven fraud detection systems. Furthermore, the research highlights the need for continuous refinement of AI models to adapt to the evolving nature of financial fraud. By leveraging AI technologies, financial institutions can revolutionize their approach to fraud detection, making financial systems more secure and responsive to emerging threats.
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Owusu, Francisca, and Bismark Wiafe Bimpong. "The Uncertainties of Student Affairs Professionals in the Age of Artificial Intelligence." East African Journal of Education Studies 7, no. 4 (2024): 217–29. http://dx.doi.org/10.37284/eajes.7.4.2288.
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The introduction of artificial intelligence (AI) has led to a global revolution across industries and service sectors. AI raises concerns such as job displacement and academic dishonesty. Their duties, involving using different technologies, have led them to incorporate AI technology into their work. This paper delves into the future of the student affairs profession, with a specific focus on the impact of artificial intelligence. The paper analyzes existing literature to identify emerging trends of uncertainties and points out potential opportunities associated with integrating AI into the role of student affairs professionals. This paper explores the nuances of integrating AI into student affairs, including both the opportunities and potential threats. In this paper, it was argued that professionals should identify the aspects of their job that necessitate a personal touch and concentrate their efforts on enhancing human experiences
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KARTHIK, TRICHUR SUNDARAM. "Digital Transformation with AI/ML & Cybersecurity." International Journal of Computer Science and Mobile Computing 11, no. 11 (2022): 1–3. https://doi.org/10.47760/ijcsmc.2022.v11i11.001.
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Manufacturing is one of the most critical industries in the world's economy, as it held almost 16% of worldwide GDP in 2019, with an output generation of 13.9 trillion. It's evident that the history of the manufacturing industry has changed drastically over the last few years (Chopra et al.). The world has plunged into the fourth industrial revolution known as 'Industry 4.0' by encompassing three latest technological trends: artificial intelligence, connectivity, and automation. The goal of industry 4.0 is to automate manufacturing processes to increase sustainability, maximize efficiency, detect system barriers, and better supply chain management. Apart from it, Industry 4.0 links up with Informational technology (IT) and Operational Technology (OT) to establish a cyber-physical subspace of the Internet of Things (IoT), giving rise to cybersecurity concerns. Undoubtedly, additional connectivity contributes to increased productivity, but it also gives rise to potential cyber threats.
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Boni, Michał. "The ethical dimension of human–artificial intelligence collaboration." European View 20, no. 2 (2021): 182–90. http://dx.doi.org/10.1177/17816858211059249.
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The development of artificial intelligence (AI) has accelerated the digital revolution and has had an enormous impact on all aspects of life. Work patterns are starting to change, and cooperation between humans and machines, currently humans and various forms of AI, is becoming crucial. There are advantages and some threats related to these new forms of human–AI collaboration. It is necessary to base this collaboration on ethical principles, ensuring the autonomy of humans over technology. This will create trust, which is indispensable for the fruitful use of AI. This requires an adequate regulatory framework: one that is future proof, anticipates how AI will develop, takes a risk-based approach and implements ex ante assessment as a tool to avoid unintended consequences. Furthermore, we need human oversight of the development of AI, supported by inter-institutional partnerships. But first we need to create the conditions for the development of AI digital literacy.
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Okereke, Ruth Onyekachi, Grace Alele Ojemerenvhie, Oladimeji Lamina Azeez, et al. "The Cloud Security Revolution: Unlocking the Potential of AI and Machine Learning to Stay Ahead of Threats." Asian Journal of Science, Technology, Engineering, and Art 2, no. 5 (2024): 735–43. http://dx.doi.org/10.58578/ajstea.v2i5.3813.
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As we navigate the digital world, cybersecurity has become a top priority. With each technological advancement, new vulnerabilities emerge, making robust defenses essential. The fusion of machine learning and artificial intelligence has become a game-changer in the fight against cyber threats. This paper delves into the latest applications of these technologies in network security, shedding light on their critical roles in addressing pressing concerns and identifying areas for further exploration. We also examine the ethical and legal implications of implementing these technologies. Our research highlights current challenges and open questions, with a focus on recent breakthroughs in network security leveraging AI and ML. The findings are promising, suggesting that further innovation in integrating AI and ML into network security frameworks holds significant potential. Exciting applications include bolstering network security, detecting malware, and responding to intrusions. Interestingly, while 45% of organizations recognize the need to adopt these technologies, half have already done so, while 5% remain hesitant.
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Chagonda, Tapiwa. "Chatbot Programmes’ ‘Arms Race’: Africa and Artificial Intelligence (AI) Ethics." Thinker 101, no. 4 (2025): 11–19. https://doi.org/10.36615/qmfegd44.
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This paper argues that the AI revolution which is currently unfolding and being fuelled by the significant strides in Generative AI-powered technologies, calls for an urgent response by the African continent, to ensure that possible harms associated with this cutting-edge technology are mitigated. The ‘arms race’ to create chatbots that can rival Open AI’s ChatGPT-4.0 technology by big technology companies such as Google and Meta, is not only hastening the pace of the AI revolution but is also bringing to the fore the double-edged nature of this technology. The benefits of AI generative technologies such as chatbots in fields such as the academy; health; agriculture; music and art, have been touted in recent times, but the ethical concerns around issues of bias; possible proliferation of misinformation from algorithms that are trained on datasets that are not fully representative of the global South’s realities, especially Africa; breaches in privacy issues and threats of job losses, still linger. The fact that in March 2023, an Elon Musk-led petition to have a six-month moratorium on AI chatbot innovations began circulating raises serious ethical concerns around the AI revolution, which makes it critical for a continent such as Africa, which has largely been a consumer of these technologies and notan innovator, to urgently draft measures that can protect it. The paper contends that even though Africa is not homogenous in nature, it needs to come up with an AI ethics-driven framework that protects the majority of its population which is mired in poverty and likely to be on the receiving end of any cons associated with AI technologies. This framework should be largely anchored in the African philosophy of Ubuntu, but also pragmatic enough to include positive facets of global-North philosophical strands such as deontology, which largely places currency on ethical principles and rules above the outcomes they produce.
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Tsiklauri-Shengelia, Zhuzhuna. "The Impact of Artificial Intelligence on Accounting and Finance in the Digital Economy." Economics 106, no. 9-10 (2024): 15–18. http://dx.doi.org/10.36962/ecs106/9-10/2024-15.
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The artificial intelligence(AI) revolution and its impact on accounting and financial activities are positively evaluated; The focus is on new skills and capabilities needed by employees. It is concluded that artificial intelligence has the potential to transform the economy in many ways, but there are also significant threats and risks in terms of job displacement, inequality and international competition. AI's full potential will only be realized when policymakers, industry leaders, and the society will work together to create an ethical and fair framework for the development and use of AI. With such interdisciplinary collaborations and approaches (sharing the experiences of economists, technologists, ethicists and policy makers), it is possible that artificial intelligence will bring great benefits to everyone and significantly improve economic growth, development and prosperity. Keywords: Artificial Intelligence(AI), accounting, consulting services, digital environment and economy.
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Onyebuchi Nneamaka Chisom, Preye Winston Biu, Aniekan Akpan Umoh, Bartholomew Obehioye Obaedo, Abimbola Oluwatoyin Adegbite, and Ayodeji Abatan. "Reviewing the role of AI in environmental monitoring and conservation: A data-driven revolution for our planet." World Journal of Advanced Research and Reviews 21, no. 1 (2024): 161–71. http://dx.doi.org/10.30574/wjarr.2024.21.1.2720.
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The rapid increase in human activities is causing significant damage to our planet's ecosystems, necessitating innovative solutions to preserve biodiversity and counteract ecological threats. Artificial Intelligence (AI) has emerged as a transformative force, providing unparalleled capabilities for environmental monitoring and conservation. This research paper explores the applications of AI in ecosystem management, including wildlife tracking, habitat assessment, biodiversity analysis, and natural disaster prediction. AI's role in environmental monitoring and conservation includes wildlife tracking, habitat assessment, resource conservation, biodiversity analysis, and species identification. AI algorithms analyze camera trap footage, drone imagery, and GPS data to identify and estimate population sizes, leading to improved anti-poaching efforts and enhanced protection of diverse species. Habitat assessment and resource conservation involve AI-powered image analysis, which aids in assessing forest health, detecting deforestation, and identifying areas in need of restoration. Biodiversity analysis and species identification are achieved through AI algorithms that analyze acoustic recordings, environmental DNA (eDNA), and camera trap footage. These innovations identify different species, assess biodiversity levels, and even discover new or endangered species. AI-powered flood prediction systems provide early warnings, empowering communities with better preparedness and evacuation efforts. Challenges, such as data quality and availability, algorithmic bias, and infrastructure limitations, are acknowledged as opportunities for growth and improvement. In policy and regulation, the paper advocates for clear frameworks prioritizing data privacy and security, algorithmic transparency, and equitable access. Responsible development and ethical use of AI are emphasized as foundational pillars, ensuring that the integration of AI into environmental conservation aligns with principles of fairness, transparency, and societal benefit.
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Onyebuchi, Nneamaka Chisom, Winston Biu Preye, Akpan Umoh Aniekan, Obehioye Obaedo Bartholomew, Oluwatoyin Adegbite Abimbola, and Abatan Ayodeji. "Reviewing the role of AI in environmental monitoring and conservation: A data-driven revolution for our planet." World Journal of Advanced Research and Reviews 21, no. 1 (2024): 161–71. https://doi.org/10.5281/zenodo.13141814.
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The rapid increase in human activities is causing significant damage to our planet's ecosystems, necessitating innovative solutions to preserve biodiversity and counteract ecological threats. Artificial Intelligence (AI) has emerged as a transformative force, providing unparalleled capabilities for environmental monitoring and conservation. This research paper explores the applications of AI in ecosystem management, including wildlife tracking, habitat assessment, biodiversity analysis, and natural disaster prediction. AI's role in environmental monitoring and conservation includes wildlife tracking, habitat assessment, resource conservation, biodiversity analysis, and species identification. AI algorithms analyze camera trap footage, drone imagery, and GPS data to identify and estimate population sizes, leading to improved anti-poaching efforts and enhanced protection of diverse species. Habitat assessment and resource conservation involve AI-powered image analysis, which aids in assessing forest health, detecting deforestation, and identifying areas in need of restoration. Biodiversity analysis and species identification are achieved through AI algorithms that analyze acoustic recordings, environmental DNA (eDNA), and camera trap footage. These innovations identify different species, assess biodiversity levels, and even discover new or endangered species. AI-powered flood prediction systems provide early warnings, empowering communities with better preparedness and evacuation efforts. Challenges, such as data quality and availability, algorithmic bias, and infrastructure limitations, are acknowledged as opportunities for growth and improvement. In policy and regulation, the paper advocates for clear frameworks prioritizing data privacy and security, algorithmic transparency, and equitable access. Responsible development and ethical use of AI are emphasized as foundational pillars, ensuring that the integration of AI into environmental conservation aligns with principles of fairness, transparency, and societal benefit.
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Rastrollo Suarez, Juan Jose, and Agustin E. Ferraro. "How to employ artificial intelligence in public administration? Analysis and discussion of the Ibero American charter on artificial intelligence in civil service." Eastern Journal of European Studies 15, no. 2 (2024): 127–46. https://doi.org/10.47743/ejes-2024-0207.
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The exponential growth in the uses of Artificial Intelligence (AI) shows dramatic and long-lasting consequences on social reality in our days. Governments see themselves confronted with the need to supervise and regulate the difficult transition toward a "fourth industrial revolution", as some experts already describe such a development. Public regulation is expected to address diverse areas. In the first place, the legal and ethical dilemmas around the functioning and programming of AI must be determined and resolved -as far as possible. Secondly, the uses of AI as a tool for public decision-making have to be explored and operationalized. Finally, citizens' rights must be guaranteed against new and unexpected threats that result from these new technologies. In the present article, we propose to analyse and discuss the development and reception of AI by Latin American governments, considering in particular the recently adopted Ibero American Charter on Artificial Intelligence in Civil Service.
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Aslam, Anam, Fawaz Ahmad Khan, and Aamir Aslam. "Socio-Economic Shocks Due to Advancement in Artificial Intelligence Techniques." Recent Trends in Artificial Intelligence & it's Applications 2, no. 1 (2023): 10–18. http://dx.doi.org/10.46610/rtaia.2023.v02i01.002.
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The repercussions of the industrial and digital revolutions on the world's social and economic landscapes are only now becoming apparent. Every element of a society's economy is affected by this collision and the AI Revolution, from little businesses to large communities to entire nations. This breakthrough in AI will lead to seismic shifts in society and pose grave threats to human civilization. Many have tried, and failed, to establish ethical guidelines for AI that benefit humankind. The goal is for these standards to help individuals out. Concepts that are too complex may leave the audience baffled. These developments provide the chance to enhance tools, solutions, and services in an effort to address some of the world's most pressing issues and advance progress towards the United Nations' Sustainable Development Goals. These targets were set to help usher in a more fair and sustainable society (SDGs). The results of a 2017 World Economic Forum (WEF) research on AI and robotics suggest that the world's economy is not ready for "Automation and Robotization," which might lead to high levels of unemployment. Artificial intelligence and robots were the subjects of the study. Most pressing issues for contemporary society and businesses are related to the implementation of AI technology, the expansion of opportunities and productivity, the elimination of unemployment, and the reduction of economic disparity. This study delves at the positive and negative aspects of artificial intelligence as well as current views, its prevalence in society, and the many methods in which it has been implemented.
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Afrianda, Rio, Veithzal Rivai Zainal, and Indra Siswanti. "Business Transformation in Industry 4.0 and Strategies for Facing Industry in the 5.0 Era." Indikator: Jurnal Ilmiah Manajemen dan Bisnis 7, no. 2 (2023): 20. http://dx.doi.org/10.22441/indikator.v7i2.19166.
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The purpose of this study is to confirm or refute whether companies are ready for the next industrial revolution. Current market conditions show that businesses are still struggling to digitize their business through the integration of Internet of Things (IoT), artificial intelligence (AI), cloud technology, and advanced technologies. other. This study uses an approach that integrates human labor in collaboration with automated processes in the supply chain. The results of this study that analyzes and evaluates the impact of Industry 5.0 on entrepreneurs where Industry 4.0 Analysis provides results based on interviews with practicing sales representatives as well. It focuses on the business landscape and its aim is to identify existing gaps, opportunities and threats. This analysis also describes the best path to transformation in the next industrial revolution.
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Owczarczuk, Magdalena. "Ethical and regulatory challenges amid artificial intelligence development: an outline of the issue." Ekonomia i Prawo 22, no. 2 (2023): 295–310. http://dx.doi.org/10.12775/eip.2023.017.
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Motivation: The Fourth Industrial Revolution brings with it numerous challenges for society, business and government. Its nature and pace is dictated by the increasing use of artificial intelligence (AI) technologies. The acquisition, collection, analysis, processing and informed use of data, as well as the continued development of artificial intelligence algorithms, are becoming the basis for the development of modern economies. However, its implementation is associated with a number of opportunities as well as threats. The way and extent to which artificial intelligence-based technologies are used requires constant attention, the basis of which is an appropriate regulatory system.Aim: The purpose of the paper is indicating and discussing selected challenges facing people and institutions responsible for creating regulations regarding the use and implementation of artificial intelligence. The regulators should , therefore, find a proper balance between innovation and credibility.Results: The analysis of the available literature allows to indicate at least 3 important challenges facing regulators: these are providing a precise definition of AI, ethical threats and competition in terms of creating suitable regulations regarding AI. The European Union has developed regulations on artificial intelligence with respect for freedom and human rights. This is a different approach from other regions of the world, including regulations established in the US or China.
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Prakosa, Chandra Ariyadi, Mhd Halkis, and Tarsisius Susilo. "Kompetensi Digital dan Manajemen SDM TNI pada Era Revolusi Industri 4.0." Journal of Education, Humaniora and Social Sciences (JEHSS) 7, no. 2 (2024): 769–83. https://doi.org/10.34007/jehss.v7i2.2366.
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The main problem in managing TNI human resources in the Industrial Revolution 4.0 era is the skills gap in facing the demands of advanced technology. Many personnel are not fully ready to master technologies such as AI, big data, and IoT which are increasingly crucial in modern military operations. The purpose of this study is to analyze TNI Digital Competence and Human Resource Management in the Industrial Revolution 4.0 Era. The method used is qualitative descriptive using the SWOT approach. The results of the study show that digital transformation in human resource management and operations of the Indonesian National Army (TNI) in the Industrial Revolution 4.0 era is a crucial strategy to strengthen national defense. The use of technologies such as artificial intelligence (AI), big data, Internet of Things (IoT), and virtual simulation (VR) increases operational efficiency and the accuracy of TNI decision-making. This technology also facilitates more realistic and interactive personnel training and reduces the risks and costs of training. However, the success of this transformation is highly dependent on the readiness of infrastructure and budget. Cooperation with industry through public-private partnerships (PPP) is needed to accelerate infrastructure development such as 5G networks and cybersecurity systems. In addition, the development of competent human resources through continuous digital training is a key element in adapting to the dynamics of information-based global threats.
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Łepecki, Dominik, Marcin Mikusek-Pham Van, Bartłomiej Grodziński, Robert Tomaszewski, Elena Sztemberg, and Agata Chojnicka. "Stanowisko Unii Europejskiej wobec sztucznej inteligencji w medycynie. Analiza i implikacje „Rozporządzenia Parlamentu Europejskiego i Rady ustanawiające zharmonizowane przepisy dotyczące sztucznej inteligencji”." Copernicus Political and Legal Studies 2, no. 4 (2023): 76–82. http://dx.doi.org/10.15804/cpls.2023408.
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In the face of a technological revolution driven by advances in the field of Artificial Intelligence (AI), the following work aims to explore the expected implications and consequences based on the Regulation of the European Parliamen and Councilt: Artificial Intelligence Act, with a particular focus on the medical sector. The above mentioned act, which is a response to the dynamic social and technological changes, is a groundbreaking initiative of the European Union aimed at ensuring the safe, ethical and responsible use of AI. In the healthcare sector, where AI has the potential to fundamentally transform diagnosis, therapy and healthcare management, this regulation plays a key role in defining the future of data-driven medicine. Our work examines the impact of this legal act regarding safety, transparency and the protection of civil rights in the medical sector. We draw attention to the fundamental challenges and threats related to the integration of AI in medicine, including issues of ethics, security and data protection. Our work highlights that the future of AI in the healthcare sector should be shaped not only by technological progress, but also by a strong commitment to ethics, responsibility and respect for human rights.
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Sardjono, Wahyu, Achmad Cholidin, and Johan. "Implementation of Artificial Intelligence-Based Customer Relationship Management for Telecommunication Companies." E3S Web of Conferences 388 (2023): 03015. http://dx.doi.org/10.1051/e3sconf/202338803015.
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As the industrial players began starting to face the reality of the fourth industrial revolution, telecommunication industry is one of those significant business sectors required to adapt and remain to survive in such challenging situations, especially by the threats of their competitors. Artificial Intelligence (AI) plays an essential role in today’s telecommunication industry. It can make predictions about decisions, examine big data points to offer solutions, and interact with customers in real-time. Many telco firms and organizations use Customer Relationship Management (CRM) to achieve effectiveness in a company’s productivity and efficiency in the operational activities. This assessment revealed that an AI-driven CRM system could give a better solution for the telecommunication industry to manage relationships with externals, boost marketing and sales programs, prospect consumer data information, and record operational cases, all in one centralized location.
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Abdullahi, Mujaheed, Yahia Baashar, Hitham Alhussian, et al. "Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review." Electronics 11, no. 2 (2022): 198. http://dx.doi.org/10.3390/electronics11020198.
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In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0), where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have evolved exponentially on a large scale. The rapid development of IoT devices and networks in various forms generate enormous amounts of data which in turn demand careful authentication and security. Artificial intelligence (AI) is considered one of the most promising methods for addressing cybersecurity threats and providing security. In this study, we present a systematic literature review (SLR) that categorize, map and survey the existing literature on AI methods used to detect cybersecurity attacks in the IoT environment. The scope of this SLR includes an in-depth investigation on most AI trending techniques in cybersecurity and state-of-art solutions. A systematic search was performed on various electronic databases (SCOPUS, Science Direct, IEEE Xplore, Web of Science, ACM, and MDPI). Out of the identified records, 80 studies published between 2016 and 2021 were selected, surveyed and carefully assessed. This review has explored deep learning (DL) and machine learning (ML) techniques used in IoT security, and their effectiveness in detecting attacks. However, several studies have proposed smart intrusion detection systems (IDS) with intelligent architectural frameworks using AI to overcome the existing security and privacy challenges. It is found that support vector machines (SVM) and random forest (RF) are among the most used methods, due to high accuracy detection another reason may be efficient memory. In addition, other methods also provide better performance such as extreme gradient boosting (XGBoost), neural networks (NN) and recurrent neural networks (RNN). This analysis also provides an insight into the AI roadmap to detect threats based on attack categories. Finally, we present recommendations for potential future investigations.
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Omoseni, Oyindamola Adepoju, and Esan Oluwadamilola. "Systematic Review of Human Resource Management Demand in the Fourth Industrial Revolution Era: Implication of Upskilling, Reskilling and Deskilling." Lead City Journal of the Social Sciences (LCJSS) Volume 8, Issue 2, July, 2023 (2023): 88–114. https://doi.org/10.5281/zenodo.10402070.
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Human resources are essential to an organization's performance, competitiveness, and sustainability inany industrial revolution era. The Fourth Industrial Revolution (4IR) integrates advanced technologiesand the convergence of physical, digital, and biological systems, offering HR professionalsopportunities and threats. This study examines the implication of the Fourth Industrial Revolution (4IR)on upskilling, reskilling, and deskilling of Human resource management. The study adopted asystematic review of relevant literature on the various issues addressed in the research. The studycritically analyzed 38 relevant research journals, articles, publications, opinions, and editorials onhuman resource management demand in the fourth industrial revolution era. The study revealed that4IR technologies, such as AI and robotics, could accomplish jobs more effectively than humans, leadingto deskilling. Adopting 4IR technologies will also require HR personnel to upskill in digital literacy,data analysis, programming, cyber-security, HR software analytics, emotional intelligence, and criticalthinking. The study also revealed that HR personnel would need to reskill to acquire proficiency using4IR technologies. The study concludes that adopting 4IR technologies will result in upskilling,reskilling, and deskilling of human resources. The study recommends that organizations invest intraining and development programs to upskill and reskill HR personnel, regular skills assessments toidentify obsolete skills, implementing training programs that meet the changing needs of the job, anddeveloping a comprehensive workforce development strategy to consider alternative approaches to jobdesign that prioritize the development of new skills and knowledge.
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Nnamdi, Nmesoma, Bolanle Oluwakemi Eniola, and Babalola Abegunde. "Examining Lethal Autonomous Weapons through the Lens of International Humanitarian Law." Scholars International Journal of Law, Crime and Justice 6, no. 06 (2023): 229–38. http://dx.doi.org/10.36348/sijlcj.2023.v06i06.001.
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Technological growth and advancement, coupled with the advent and expansion of the Fourth Industrial Revolution, has brought about the invention of products that facilitate and enhance human life. Artificial intelligence and Machine Learning have permeated virtually all sectors of the world and have received both positive and negative feedbacks. Undoubtedly, the human race is yet to keep up with the accelerating expansion of the Fourth Industrial Revolution. Artificial Intelligence being a subset of the Fourth Industrial Revolution is packed with enormous benefits which shall be accrued to participating states, and one of these benefits is the Lethal Autonomous Weapons (LAWs) otherwise known as Autonomous Weapons Systems (AWS) or “killer robots”. Since the inception of LAWs, researchers, lawyers, IT experts, and scientists have opposed its adoption, urging the international community to impose strict laws on states utilising it. The invention of AI programmed weapons is not the subject matter of contention, rather, the ground for opposition is the “autonomy” granted to the weapons. These machines can function without human oversight and are programmed to be unpredictable. International Humanitarian Law opposes the use of weapons that pose threats to the civilian population, of which LAWs is inevitably a part of. LAWs defile ethical and legal positions. These weapons are so accurate and swift that they can destroy hundreds of humans in a couple of minutes and countries in possession of these machines could use them without recourse to the victims. This research work investigates the threats and risks posed by Lethal Autonomous Weapons to the Society. It analyses International law provisions in respect to LAWs and feasible measure to curb the use of LAWs across the globe.
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Pashentsev, Evgeny, and Sergey Sebekin. "Metaverses, artificial intelligence and challenges to psychological security." Politika nacionalne bezbednosti 25, no. 2 (2023): 33–57. http://dx.doi.org/10.5937/pnb25-46760.
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Today, the rapid development of the fourth industrial revolution and the emergence of the latest digital technologies leads to the gradual creation of a fundamentally new "socio-technological" reality - a metaverse that will permeate all levels of society and human existence: socio-social relations, economics, political processes, thus influencing the psychology of human consciousness and perception of reality. The existence, full functioning of this new "Reality 2.0" and its convergence with the physical world will be provided by a wide range of new technologies, one of which is "advanced" artificial intelligence (AI) systems, which will underlie the basis of the creation of the metaverse architecture itself and be used for 3D modeling, creation of digital objects, design and expansion virtual worlds-clusters, data analysis, etc. At the same time, metaverses implementing technologies of full immersion in virtual reality are able to release conflict potential and create a wide range of opportunities for ultimate antisocial impact on social processes, social groups and individuals through specific forms of malicious use of AI in order to undermine psychological stability (PS). The article will consider specific technologies of influencing the consciousness of users through AI. Special attention will be paid to how the use of AI systems in metaverses can produce local and global threats to psychological stability, and through that to political, economic, military institutions. The relevance of the paper is due to the growing popularity of the phenomenon of metaverses and growing number of users ("metacitizens"), increased investments in this area and the development of AI technologies that make the experience of being in the metaverses more immersive, which in turn makes users most vulnerable to HT psychological influences. Today, at the level of states, international institutions and global forums, the importance of regulating the new reality and creating a safe metaverse is being stated, which makes it necessary to study possible options for negative effects on consciousness through AI technologies and consider ways to counter these threats. At the same time, there is a lack of studies in this area that negatively affects the level of expert assessments, the effectiveness of decisionmaking and, more broadly, the level of awareness of the general public about the nature and size of emerging threats. The paper aims to close this gap whenever possible and contribute to a broader discussion on this hot issue.
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Kim, Seok Joo, and Hui Chung Kim. "Strategies and Tasks to Response to Cyber Terror in the Age of Intelligence Information." Korean Association for Terrorism Studies 16, no. 3 (2023): 5–24. http://dx.doi.org/10.46350/kats.2023.16.3.5.
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In the era of intelligent information, the technological development of the 4th industrial revolution is transforming all functions of the state, such as administration, economy, and industry, into cyberspace, which increases cyber threats such as hacking and crime in virtual space as well as positive functions. In recent years, cyber terrorism has been increasing in various types of threats, such as industrial property theft, system paralysis, cyber warfare, and virtual currency theft, due to the expansion of the attack surface due to the expansion of the digital domain. The forms of attack are becoming more sophisticated. Now, the response to cyber terrorism should not be limited to the technological domain of information and communication, such as vaccine and defense program development, recovery system construction, and cyber forensic have to build Under this recognition, this paper aims to respond to cyber terrorism with strategies and tasks. First, unification of cyber terrorism response system and strengthening information sharing among response organizations through the enactment of the 'Framework Act on Cyber terrorism' in terms of laws and institutions. Second, cyber security experts Third, raising cyber security awareness and strengthening practice Fourth, establishing a cyber security inspection system and backup system Fifth, suggesting an AI-dedicated department and enactment of AI-related laws to actively respond to new vulnerable factors caused by the development of artificial intelligence technology.
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Obuchowicz, Rafał, Julia Lasek, Marek Wodziński, Adam Piórkowski, Michał Strzelecki, and Karolina Nurzynska. "Artificial Intelligence-Empowered Radiology—Current Status and Critical Review." Diagnostics 15, no. 3 (2025): 282. https://doi.org/10.3390/diagnostics15030282.
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Humanity stands at a pivotal moment of technological revolution, with artificial intelligence (AI) reshaping fields traditionally reliant on human cognitive abilities. This transition, driven by advancements in artificial neural networks, has transformed data processing and evaluation, creating opportunities for addressing complex and time-consuming tasks with AI solutions. Convolutional networks (CNNs) and the adoption of GPU technology have already revolutionized image recognition by enhancing computational efficiency and accuracy. In radiology, AI applications are particularly valuable for tasks involving pattern detection and classification; for example, AI tools have enhanced diagnostic accuracy and efficiency in detecting abnormalities across imaging modalities through automated feature extraction. Our analysis reveals that neuroimaging and chest imaging, as well as CT and MRI modalities, are the primary focus areas for AI products, reflecting their high clinical demand and complexity. AI tools are also used to target high-prevalence diseases, such as lung cancer, stroke, and breast cancer, underscoring AI’s alignment with impactful diagnostic needs. The regulatory landscape is a critical factor in AI product development, with the majority of products certified under the Medical Device Directive (MDD) and Medical Device Regulation (MDR) in Class IIa or Class I categories, indicating compliance with moderate-risk standards. A rapid increase in AI product development from 2017 to 2020, peaking in 2020 and followed by recent stabilization and saturation, was identified. In this work, the authors review the advancements in AI-based imaging applications, underscoring AI’s transformative potential for enhanced diagnostic support and focusing on the critical role of CNNs, regulatory challenges, and potential threats to human labor in the field of diagnostic imaging.
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Chris, Partogi, Heru Riza Chakim Mochamad, and Mulyati. "Smart Strategies in the Digital Age: Conventional Retail Facing the Revolution E-Commerce." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 07, no. 11 (2024): 5303–9. https://doi.org/10.5281/zenodo.14242384.
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The aim of this research is to see how e-commerce trends impact traditional retail marketing strategies. The study emphasize the use of new technologies such as augmented reality (AR), artificial intelligence (AI), and omnichannel approaches as a way to maintain traditional retail competitiveness. This was done using the PRISMA framework and SWOT analysis. Data was collected from eleven relevant articles over the past three years (2022-2024) using searches in ScienceDirect and Google Scholar. Results show that the use of technology in omnichannel strategies can improve customer experience and operational efficiency. However, the main obstacles remain infrastructure limitations, high investment costs and data security threats. To address this issue, it is recommended to use mitigation strategis that prioritize technology partnerships and focus on specific market segments. This research provides parctical guidelines for retail partitioners to adjust to the dynamics of the e-commerce market. In addition, this research offers a perspective for academics in studying retail transformation in the digital era.
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John, Awodola Olufemi, and Babatunde Bamidele Oyeyemi. "The Role of AI in Oil and Gas Supply Chain Optimization." International Journal of Multidisciplinary Research and Growth Evaluation 3, no. 1 (2022): 1075–86. https://doi.org/10.54660/.ijmrge.2022.3.1.1075-1086.
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The oil and gas industry is undergoing a revolution in supply chain management through the integration of artificial intelligence (AI) technologies, such as automation, machine learning, and predictive analytics, which are being used more and more to optimize various aspects of the oil and gas supply chain, from exploration and production to transportation and distribution. AI-driven solutions allow for real-time monitoring and data analysis, which enables businesses to predict equipment failures, optimize logistics, and improve the accuracy of demand forecasting. In exploration and production, AI is used to analyze vast amounts of seismic and geological data, which speeds up the identification of possible drilling sites and improves the efficiency of resource extraction. By using machine learning algorithms to forecast reservoir behavior, operators can minimize operational risks and improve drilling methods. AI also plays a key role in pipeline monitoring and maintenance, utilizing sensor data to identify irregularities, reduce downtime, and avert expensive mishaps. AI improves scheduling and routing in distribution and transportation to speed up deliveries and use less fuel. AI-based solutions can also assist with inventory control, guaranteeing the effective distribution of gas and oil supplies throughout international markets. However, despite its enormous potential, the oil and gas industry faces obstacles like data integration, cybersecurity threats, and the need for skilled labor. As AI technologies continue to advance, their role in improving the sustainability and efficiency of oil and gas supply chains will only grow more prominent, leading to more streamlined operations and a reduction in environmental impact. Predictive maintenance powered by AI algorithms helps to prevent delays by identifying potential issues before they lead to costly disruptions.
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Whyte Asukwo Akpan, Godwin Daniel Essien, Chikodili Martha Orazulume, Peter Okechukwu Chikelu, Nsikakabasi Nsedu Inyang, and Edet Francis Etteobong. "Operational exposition on offline and online AI closed-loop control systems applications." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 1173–81. https://doi.org/10.30574/wjaets.2025.15.3.0709.
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Offline and online operations are the two commonly identified computer operations in practice. These two operations have their advantages and limitations and should be weighed by the user before making a choice. With the current artificial intelligence revolution, critical decision has to be made on its applications in order to obtain the desired objectives. Close-loop control system is amendable for use by artificial intelligence experts, engineers and scientists for problems solving. Such decisions should not be taken without critical analysis of pros and cons of the two types of operations, selecting the best choice based on each scenario or application. This research seeks to explore the possible threats and risks associated in their operations and provide the necessary guides to enable adequate application of the two methods in closed-loop control system engineering. Such results as presented in this work have provided the platform in the utilization of artificial intelligence in closed-loop control system applications. It is hoped that this research will serve engineers in the exploration and application of offline and online computer applications in various artificial intelligence closed-loop control system usage to drive the industries, plants and similar systems suitable for their applications.
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YI, ZOONIL. "Artificial Intelligence and the Constitution: Response from the Perspective of Constitutional Rights to the Risks of Artificial Intelligence." Korean Constitutional Law Association 28, no. 2 (2022): 347–83. http://dx.doi.org/10.35901/kjcl.2022.28.2.347.
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Artificial intelligence (AI) is a technology that represents the 4th industrial revolution. AI, designed as a technology for realizing human natural intelligence, is being used in various fields. There is growing concern that the use of AI will increase threats to human life, such as unemployment, invasion of privacy, distribution of false information, intensification of discrimination and infringement of consumer rights. AI provides both benefits and risks to humans. AI can be associated with a variety of fundamental rights. First, from the perspective of the right to self-determination of personal information, the risk of AI being used as a monitoring tool is increasing by strengthening the collection and use of personal information. The possibility of AI infringing on the right to self-determination of personal information can be resolved through the introduction of a human rights impact assessment system or a duty to explain. Meanwhile, AI is criticized for reproducing and reinforcing discrimination. The bias included in the data or algorithms used by AI is creating bias in judgment or prediction through AI. In order to strengthen the transparency of AI, it is necessary to solve the problem of discrimination caused by AI by introducing a system such as an audit. In addition, the risk of infringing consumer rights by products using AI is also subject to criticism. In relation to the infringement of constitutional rights by a third party in the field of AI, it is necessary to utilize the legal logic of the right to seek protection of constitutional rights from the state or the legal effect of constitutional rights on third parties. Through this, sanctions against the perpetrators and remedies for the victims should be provided at the same time. In relation to AI, which is both a benefit and a risk, it would be desirable to seek alternatives through the harmony and balance of conflicting constitutional rights.
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Adebayo, A. V., S. Oladeji, and O. O. Osinubi. "The Environmental Impact of the Fourth Industrial Revolution: Assessing the Pros and Cons of Technologies on Renewable Energy Systems." American Journal of Applied Sciences and Engineering 5, no. 3 (2024): 32–44. https://doi.org/10.5281/zenodo.13736051.
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<em>The Fourth Industrial Revolution (4IR) has ushered in an era of technological advancements that profoundly impact various sectors, including renewable energy systems (RES). This paper critically examines the environmental implications of 4IR technologies, emphasizing the advantages and challenges associated with their integration into RES. Key technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data, cloud computing, and cyber-physical systems can potentially enhance the efficiency, predictive maintenance, and overall management of renewable energy infrastructures. These innovations promise significant reductions in carbon emissions and operational costs while promoting sustainable energy consumption. However, the rapid deployment of these technologies also presents notable challenges, including increased electronic waste, higher energy consumption by data centres, and cybersecurity threats. This study highlights the need for rigorous assessment and strategic implementation of 4IR technologies to maximize their benefits while mitigating adverse environmental impacts. The findings underscore the importance of establishing comprehensive guidelines and policies. These are recommendations and necessary measures to ensure these technologies contribute positively to global sustainability goals. They are the guardrails that will steer us towards a more sustainable future.</em>
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shokri, Ali, Ali Rezaeian, and Mohammad Ali Keramati. "Futures Studies on AI Governance in Smart Governments: Toward Achieving a Sustainable and Efficient Structure for Utilizing Advanced Technologies." Business, Marketing, and Finance Open 1, no. 4 (2024): 1–13. https://doi.org/10.61838/bmfopen.1.4.1.
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Future advancements are expected to occur rapidly, with scientists anticipating the realization of superhuman capabilities in strategic fields within the coming decades. The opportunities created by technological advancements, especially in artificial intelligence (AI), across various domains such as healthcare, transportation, energy, education, economic growth, and environmental sustainability, are immense. Conversely, the potential risks are significant, and technological advancements pose numerous governance challenges. These risks include workforce displacement, inequality, shifts in national power, strategic instability, and certain forms of AI that may jeopardize health and other societal values. Leaders of governments and large corporations frequently seek advice for better policymaking in this new landscape; however, academic attention to the revolution brought about by AI remains limited. Therefore, there is an urgent need for extensive research on AI governance, a topic that necessitates rethinking global institutions, policies, and norms to ensure the beneficial and ethical development and application of AI. This report is written in light of the urgent need for research on this issue. The first section focuses on AI policy, emphasizing the dynamics among governments, major corporations, the public, researchers, and other stakeholders. The final section analyzes possible structures for transitioning toward AI management. This study examines the future of AI governance in smart governments to achieve a sustainable and efficient structure for leveraging advanced technologies. The findings highlight the importance of revising policies and regulations to develop AI governance. The proposed future scenario suggests that governments should continuously update AI-related laws and regulations to prevent negative societal impacts. These revisions must simultaneously support innovation and ensure that citizens' rights are protected against automated decision-making. Moreover, enhancing the security and sustainability of AI systems should be prioritized. This includes developing security infrastructures, risk management practices, and employing advanced techniques to prevent misuse and cybersecurity threats. Given the rapid evolution of AI technologies, ensuring their security and sustainability is a primary responsibility of governments. This effort can lead to improved quality of life and increased public trust.
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Wiewiórowska-Domagalska, Aneta. "Homo ex machina. Artificial Intelligence in a Brave New World—A Glimpse from Europe." Law and Business 1, no. 1 (2021): 37–43. http://dx.doi.org/10.2478/law-2021-0005.
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Abstract There is no area of human activity that would function today without the involvement of AI technologies. AI, a driving force of the Fourth Industrial Revolution, penetrates modern human life with ever-increasing intensity. As it is claimed, it brings about decision-making efficiency and performance accuracy that has never existed before. At the same time, artificial intelligence creates far-reaching dangers to almost every aspect of the modern world. From the legal point of view, the most eminent ones include: the bias stemming from the inherited historical data that AI tends to repeat and multiply, the problem of the lack of transparency (the “black-box society”) that makes it impossible for a human being to understand how AI arrived at a decision, and the elimination of the human being from the decision-making process, which rises the issue of appropriateness and legitimacy. AI can only be developed when sufficient amount of data is available, and hence the article elaborates on the fundamental role that data plays for the modern world, and how transnational corporations set global rules in relation to collection and access to data in a process that lacks democratic accountability and questions the position of states. The article ends with presenting the UE attempts to address the issues that arise in relation to the unrestricted access to data, invasion of privacy and threats posed by artificial intelligence. It also elaborates on the prominent position that the artificial intelligence holds on the EU political agenda and presents political and legislative actions undertaken by the European Union in this regard.
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Sathish Krishna Anumula. "AI-Enhanced NLP for Agile Strategy Execution: Leveraging Machine Learning to Automate Backlog Grooming and Sprint Planning at Scale." Journal of Information Systems Engineering and Management 10, no. 48s (2025): 942–55. https://doi.org/10.52783/jisem.v10i48s.9679.
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Wireless sensor networks (WSNs) are quiet dynamic technology made up of discrete multi-function sensor nodes that interconnect wireless for short distances. WSNs have distinct traits as well as limitations that impede the development of efficient attack detection and prevention methods. Security in WSN is a more difficult task because of the processing limits of sensor nodes as well as the nature of wireless communications. The widespread WSNs usage has given development to several forms of threats. To guard against threats, appropriate security measures must be implemented. Cryptography, specifically encryption, plays a pivotal role in protecting data from unauthorized access. However, not all encryption methods are equally effective, as some exhibit vulnerabilities. Elliptic Curve Cryptography (ECC) is the most efficient option because of its reduced key size. Comprehensive safety despite lower key sizes leads to area as well as power efficient crypto systems. With recent technological advancements, traditional encryption no longer appears to be a safe solution for security and privacy of data. Quantum cryptography uses quantum physics processes to provide safe data transmission among sender and recipient. However, quantum cryptography comprises a revolution over network security field. Therefore, this research focuses on Quantum Key Distribution (QKD) with ECC for effective authentication, key management and energy conservation. Thus, the proposed QKD-ECC method is implemented and evaluated with traditional ECC and other cryptography method for better WSN security and privacy of data transmission.
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Arseienko, Anatolii. "Artificial intelligence as it is in the current conditions of digital transformation of global society." Вісник Книжкової палати, no. 8 (October 28, 2024): 18–23. http://dx.doi.org/10.36273/2076-9555.2024.8(337).18-23.
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The article is devoted to the study of the role of artificial intelligence (AI) in the modern digital transformation of the rich countries of the global North and the poor countries of the global South. Particular attention is paid to the different conditions of the digital revolution in the former and the latter. They are leading to an increase in old inequalities and the emergence of new digital inequalities between developed and developing countries. At the same time, the pursuit of profit in the digital economy has become the main reason for further material and property differentiation between the first, second, and third world countries, as well as between the rich and the poor within each of these countries. All of this hinders the revolutionary potential of AI in the interests of all countries and peoples and creates conditions for its use for anti-people purposes, including by combining AI with weapons for the military purpose of killing people. The task of civil society is precisely to force state authorities to take measures to regulate digital business in order to overcome the threats posed by the oligarchs of digital corporations and improve the socio-economic situation of both the cybertariat and the entire working population in the countries of the global North and the global South.
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Serdiuk, O. "Industry 4.0 Technologies as a Factor in Economic Development." Economic Herald of the Donbas, no. 4 (78) (2024): 19–25. https://doi.org/10.12958/1817-3772-2024-4(78)-19-25.
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The article explores the potential of Industry 4.0 technologies as a factor in the development of the economic system. It analyzes the key technologies of the Fourth Industrial Revolution, namely Artificial Intelligence (AI), the Internet of Things (IoT), blockchain, and 3D printing, and their impact on economic processes. Special attention is given to the role of Artificial Intelligence, which is the main driver of the transformation of production processes. The possibilities of production automation through AI, its ability to analyze real-time data, manage resources, and optimize production processes are examined. It is established that the implementation of AI contributes to reducing operational costs, improving product quality, and more efficient resource utilization. The Internet of Things is considered as a technology that enables the integration of production processes and communication between devices in real-time. Emphasis is placed on its role in the formation of "smart factories" and the transition to a "pull economy" model, which allows manufacturers to quickly adapt to changes in consumer demand. Blockchain technology is studied in the context of reducing transaction costs and ensuring the transparency of economic relations. The prospects for the use of smart contracts in logistics, finance, and business process management are analyzed, along with potential threats related to the centralization of control over data. 3D printing is considered as a tool for optimizing production processes and personalizing products.
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Shaoxue, Jia. "Artificial Intelligence Governance and China’s Experience under the Community of Common Destiny for Mankind Concept." Legal Issues in the Digital Age 4, no. 3 (2023): 81–96. http://dx.doi.org/10.17323/2713-2749.2023.3.81.96.
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In recent years artificial intelligence (AI), backed by big data and the Internet, hasbeen rapidly developing and determining the future direction of the world’s scienceand technology development. Although artificial intelligence is beneficial to the scientific and technological revolution and industrial modernization of mankind, it hasalso brought new risks. People pay more and more attention to the potential risks ofartificial intelligence that should be effectively managed. Artificial intelligence risksare characterized by the diversity of technological threats, the similarity of AI risksfaced by different countries and the high complexity of governance, something thatrequires concerted efforts by all countries. It is necessary to carry out the development of artificial intelligence in the country from the perspective of the commoninterests of mankind, ensure the safety and manageability of artificial intelligence,and strengthen international cooperation. At present Western countries advocatethe concept of technological hegemony and technological monopoly, and developing countries have little opportunity to express their opinions on the governance ofartificial intelligence, and China’s Community of the Common Destiny for MankindConcept is necessary for the governance of artificial intelligence. Based on that concept, the paper explores China’s new practices and proposals for the domestic andinternational AI governance. In response to the problem of overuse and misuse ofnew technologies, China proposes to establish an artificial intelligence governancesystem that includes joint management by various actors, open and transparent regulation, comprehensive consultations, and the development of effective evidence-based laws, so as to promote the beneficial development of artificial intelligence inthe future and contribute to the deepening of AI governance based on the Chineseproposal.
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Alsumayt, Albandari, Zeyad M. Alfawaer, Nahla El-Haggar, et al. "Boundaries and Future Trends of ChatGPT Based on AI and Security Perspectives." HighTech and Innovation Journal 5, no. 1 (2024): 129–42. http://dx.doi.org/10.28991/hij-2024-05-01-010.
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In decades, technology and artificial intelligence have significantly impacted aspects of life. One noteworthy development is ChatGPT, an AI-based model that has created a revolution and attracted attention from researchers, academia, and organizations in a short period of time. Experts predict that ChatGPT will continue advancing, bringing about a leap in artificial intelligence. It is believed that this technology holds the potential to address cybersecurity concerns, protect against threats and attacks, and overcome challenges associated with our increasing reliance on technology and the internet. This technology may change our lives in productive and helpful ways, from the interaction with other AI technologies to the potential for enhanced personalization and customization to the continuing improvement of language model performance. While these new developments have the potential to enhance our lives, it is our responsibility as a society to thoroughly examine and confront the ethical and societal impacts. This research delves into the state of ChatGPT and its developments in the fields of artificial intelligence and security. It also explores the challenges faced by ChatGPT regarding privacy, data security, and potential misuse. Furthermore, it highlights emerging trends that could influence the direction of ChatGPT's progress. This paper also offers insights into the implications of using ChatGPT in security contexts. Provides recommendations for addressing these issues. The goal is to leverage the capabilities of AI-powered conversational systems while mitigating any risks. Doi: 10.28991/HIJ-2024-05-01-010 Full Text: PDF
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Zheludkov, M. A. "Justification of the Necessity to Adjust Law Enforcement Agencies to Digital Transformation of Criminality." Lex Russica, no. 4 (April 24, 2021): 63–70. http://dx.doi.org/10.17803/1729-5920.2021.173.4.063-070.
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Underestimation of the importance of solving problems in law enforcement agencies in the context of the use of new digital technologies by criminals may lead to the situation when high-tech crime does not replace traditional forms of theft, but may result in a sharp hypoxia of preventive activities, which will lack the planned law enforcement resources and means of responding to emerging threats. The relevance of the paper lies in the fact that when assessing the use of modern digital technologies in scientific literature and regulatory support, special emphasis is placed on specific data functions of technologies to automatically analyze a set of data and with the help of a set of algorithms to make decisions on optimization of processes and activities, that is, the ability to simplify human relationships. However, the experience of law enforcement has shown that the lack of law enforcement support for protecting the society from negative use of technology leads to the fact that the response now follows the criminal consequences of their use of technologies. The creation of artificial intelligence (AI) systems has led to serious social changes, there is a kind of transformation of public relations under the influence of the digital economy, which inevitably creates the prerequisites for the emergence of specific criminal behavior. The paper provides for a brief analysis of information from open sources about the possibilities of criminal use of artificial intelligence. The author aims to analyze the various possibilities of creating a new model of protection against cybercrime under the control of law enforcement agencies in the context of new threats caused by criminal use of AI technology and the new industrial revolution.
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Blokhin, Konstantin V. "World Geopolitical Competition in the Context of the Fourth Industrial Revolution." RUDN Journal of Political Science 22, no. 3 (2020): 339–51. http://dx.doi.org/10.22363/2313-1438-2020-22-3-339-351.
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Article analyzes predictive estimates and concepts presented by the Western intellectual community, regarding prospects for development of new trends in the global economy, caused by the fourth industrial revolution. Author draws on a variety of sources, including reports from US think tanks, works by representatives of global financial and technocratic elite, and works by American intellectuals. Methodological basis of the study is a theory of the world system of I. Wallerstein, which allows to identify dynamic and conflicting lines of interaction between two geopolitical centers of the world - the United States and China. Based on an analysis of current trends, modern experts predict revolutionary changes in modern technologies that can decisively affect socio-political stability, not only in Western countries, but in developing countries as well. Author shows that the new technological structure is changing not only sector structure of the economy, but also has a strong impact on employment. According to American analysts, new technologies can destabilize socio-political stability in any country, especially in countries where cheap labor is a traditional tool. Robotization and automation of production can become a competitive advantage of the United States and Western countries in competition with China. Article notes that Russia is only at the very beginning of technological revolution, behind big five leading countries. Overcoming its lag in the field of AI and robotics requires adoption of comprehensive measures of economic, scientific and political nature. Ignoring realities of technological progress is fraught with increase in threats to national security.
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Hwang, Seung-Yeon, Dong-Jin Shin, and Jeong-Joon Kim. "Systematic Review on Identification and Prediction of Deep Learning-Based Cyber Security Technology and Convergence Fields." Symmetry 14, no. 4 (2022): 683. http://dx.doi.org/10.3390/sym14040683.
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Recently, as core technologies leading the fourth industrial revolution, such as the Internet of Things (IoT), 5G, the cloud, and big data, have promoted smart convergence across national socio-economic infrastructures, cyber systems are expanding and becoming complex, and they are not effective in responding to cyber safety risks and threats using security technology solutions limited to a single system. Therefore, we developed cyber security technology that combines machine learning and AI technology to solve complex problems related to cyber safety. In this regard, this study aims to identify technology development trends to prevent the risks and threats of various cyber systems by monitoring major cyber security convergence fields and technologies through the symmetrical thesis and patent analysis. Because thesis information can explain the superiority of technology and patent information can explain the usefulness of a technology, they can be effectively used for analyzing and predicting technology development trends. Therefore, in this study, latent Dirichlet allocation is applied to extract text-document-based technical topics for the symmetrical thesis and patent information to identify security convergence fields and technologies for cyber safety. In addition, it elucidates cyber security convergence fields and technology trends by applying a dynamic topic model and long short-term memory, which are useful for analyzing technological changes and predicting trends. Based on these results, cyber security administrators, system operators, and developers can effectively identify and respond to trends in related technologies to reduce threats, and companies and experts developing cyber security solutions can present a new security approach.
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Balaska, Vasiliki, Zoe Adamidou, Zisis Vryzas, and Antonios Gasteratos. "Sustainable Crop Protection via Robotics and Artificial Intelligence Solutions." Machines 11, no. 8 (2023): 774. http://dx.doi.org/10.3390/machines11080774.
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Agriculture 5.0 refers to the next phase of agricultural development, building upon the previous digital revolution in the agrarian sector and aiming to transform the agricultural industry to be smarter, more effective, and ecologically conscious. Farming processes have already started becoming more efficient due to the development of digital technologies, including big data, artificial intelligence (AI), robotics, the Internet of Things (IoT), and virtual and augmented reality. Farmers can make the most of the resources at their disposal thanks to this data-driven approach, allowing them to effectively cultivate and sustain crops on arable land. The European Union (EU) aims to make food systems fair, healthy, and environmentally sustainable through the Green Deal and its farm-to-fork, soil, and biodiversity strategies, zero pollution action plan, and upcoming sustainable use of pesticides regulation. Many of the historical synthetic pesticides are not currently registered in the EU market. In addition, the continuous use of a limited number of active ingredients with the same mode of action scales up pests/pathogens/weed resistance potential. Increasing plant protection challenges as well as having fewer chemical pesticides to apply require innovation and smart solutions for crop production. Biopesticides tend to pose fewer risks to human health and the environment, their efficacy depends on various factors that cannot be controlled through traditional application strategies. This paper aims to disclose the contribution of robotic systems in Agriculture 5.0 ecosystems, highlighting both the challenges and limitations of this technology. Specifically, this work documents current threats to agriculture (climate change, invasive pests, diseases, and costs) and how robotics and AI can act as countermeasures to deal with such threats. Finally, specific case studies and the application of intelligent robotic systems to them are analyzed, and the architecture for our intelligent decision system is proposed.