Academic literature on the topic 'AI revolution threats'
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Journal articles on the topic "AI revolution threats"
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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.
Book chapters on the topic "AI revolution threats"
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Léna, Pierre. "Robotics in the Classroom: Hopes or Threats?" In Robotics, AI, and Humanity. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54173-6_9.
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AbstractArtificial intelligence implemented in a great diversity of systems, such as smartphones, computers, or robots, is progressively invading almost all aspects of life. Education is already concerned by this revolution, as are medicine or care for elderly people. Education is indeed a special case, because it is fundamentally based on the relationship, involving love and emotions as well as knowledge, between a fragile child and an adult. But teachers are becoming rare and education expensive: The Earth demography is here an economical challenge. We examine some of the various modalities of teacher substitution, companionship or computer-resources which are already experimented, and discuss their ethical aspects. We conclude on the positive aspects of computer-aided education, which does not substitute the teacher, but may help and provide continued professional development.
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Sengupta, Sandeep, and Subhajit Roy. "Artificial Intelligence (AI) in Cybersecurity: A Revolution in Threat Detection and Prevention." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8457-8_31.
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Kumar, Shanty, Balwinder Singh, and Dr Anil Kumar. "THE GAMING REVOLUTION." In Key Insights from Harnessing AI, Machine Learning, and IoT for Smart Business. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2025. https://doi.org/10.58532/nbennurkich9.
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The gaming industry has undergone a revolutionary transformation, evolving from simple arcade machines to immersive virtual realities powered by artificial intelligence and cloud computing. This chapter explores the key technological advancements, market trends, and socio-cultural impacts that have shaped the modern gaming landscape. It discusses the rise of eSports, mobile gaming, and blockchain-based gaming economies while highlighting the role of augmented and virtual reality in enhancing user experiences. Additionally, the chapter examines the challenges posed by cybersecurity threats, ethical concerns, and the growing influence of gaming in education and professional training.
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Dhande, Kunal Ramesh. "Fourth Industrial Revolution and the Role of Cyber Security." In Advances in Hospitality, Tourism, and the Services Industry. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2715-9.ch013.
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The Fourth Industrial Revolution is reshaping travel and tourism with IoT, AI, and biometrics, enriching tourist experiences through enhanced vehicle technologies. However, heightened vehicle connectivity poses cybersecurity risks, endangering traveler safety and privacy. Effective cybersecurity strategies are essential to secure vehicle systems and sensitive data, ensuring a trustworthy tourism environment. Protection focuses on digital assets, personal information, and critical infrastructure like booking platforms and transport services. As cars integrate advanced infotainment, safeguarding navigation and communication data becomes crucial against evolving cyber threats. Reports highlight vulnerabilities in keyless entry systems, contrasting theft rates between vulnerable models and secure alternatives like Tesla, emphasizing encryption and biometric security measures. Enhanced cybersecurity practices, including updates, authentication, and compliance, are pivotal for mitigating risks in rental and connected vehicles, safeguarding against emerging threats in the automotive sector.
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Peck, Patrícia, and Lucas Arthuso. "Cybersecurity Global Clashes in the Era of AI." In The Role of Cybersecurity in the Industry 5.0 Era [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.114974.
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This article explores the human challenges on Cybersecurity Culture at the time of AI, considering diversity, internet international cybercrime organizations, the “naive behavior” of the user, and the lack of technical capacity, skills, tools, and collaboration of the authorities, in different countries. The technological revolution promoted by artificial intelligence (AI) brings with it advances and challenges, especially in the field of cybersecurity. Governments around the world are moving to regulate the ethical use of AI, as in the EU and Brazil’s draft laws. Cybersecurity can benefit from AI, helping to detect threats and automate tasks for proactive security measures. However, it also introduces risks such as deepfake exploitation and sophisticated social engineering schemes, which pose financial, physical, and psychological threats. In addition, ubiquitous computing, especially in smart cities with IoT devices, amplifies security challenges, with APIs playing a key role in facilitating communication between interconnected devices, but also presenting risks such as authentication breaches and incorrect security settings that can lead to systems becoming unavailable. Therefore, this article will explain how to develop a digital economy reliable and safe, considering the new AI applications and the necessity to apply governance best practices and rules of ethics, privacy, security by design to have sustainable innovation to continue developing the industry 5.0 for the future.
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Linda, Sonal. "A State-of-the-Art Review on the Implications of ChatGPT in Educational Practices and Research." In Educational Perspectives on Digital Technologies in Modeling and Management. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2314-4.ch001.
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Chat generative pre-trained transformer (ChatGPT) has brought a great revolution in the education system. The evolution of ChatGPT is from an artificial intelligence (AI) chatbot based on natural language processing (NLP) model, reinforcement learning, and deep learning algorithms that are responsible for enhancing its capabilities of learning educational goals to help learners and educators. The incorporation of ChatGPT in education may involve some limitations, challenges, opportunities, and threats. In this chapter, the authors analyze the potential capabilities of ChatGPT in education associated with some risks. Further, they discuss opportunities and threats raised due to integration of ChatGPT in the education system. The goal of this study is to provide valuable recommendations in educational practices and reforms for policy making while ensuring ethical use of ChatGPT.
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Thakran, Archana, Randhir Rathore, and Nikunj Sanghi. "Transformative Impacts of Automation and Digitization in the Indian Automotive Sector." In Advances in Finance, Accounting, and Economics. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-8949-2.ch002.
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The chapter explains the dynamics of robotics in automotive corporations in India in the framework of the fourth industrial revolution. It discusses how players such as Maruti Suzuki, Hyundai Motor India, and Mahindra & Mahindra are utilizing robotics, IoT AI, and IoT and upskilling solutions to enhance their production line effectiveness, compound quality, and competitiveness. The present trends indicate that such technologies are already being used in production, logistics, and human capital. It also addresses concerns such as cybersecurity threats, technologies, and environments through the issuance of strategies and policies to tackle these concerns. Understanding the trends from the current/near past towards the future, this chapter explains how the automotive industry in India is experiencing automation and digitization towards sustainability and leadership.
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Sevag Kertechian, Kevin, and Hadi El-Farr. "Dissecting the Paradox of Progress: The Socioeconomic Implications of Artificial Intelligence." In The Changing Landscape of Workplace and Workforce [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1004872.
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The rapid ascent of artificial intelligence (AI) and other general-purpose technologies has marked the advent of the fourth industrial revolution, triggering substantial transformations in business practices and productivity potential. While these emerging technologies offer numerous benefits, they also present a range of threats, concerns, and challenges. This chapter aims to investigate the dark side of the fourth industrial revolution, based on the available literature. One major concern revolves around employment, encompassing the potential rise in unemployment rates and the emergence of structural unemployment. The set of skills needed for the changing nature of work is significantly different, thus there is a need for rapid reskilling and deskilling to ensure the future employability of the existing workforce. Furthermore, high dependence on machines might lead to major ethical concerns, including, but not limited to, breaches of privacy and discrimination. More so, high unemployment might lead to further social and income inequalities, relegating many to the lower class and decreasing their purchasing power, while placing few in the upper class.
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Marinelli, Marina, and Mukund Nilakantan Janardhanan. "The Value Proposition of Machine Learning in Construction Management." In Advances in Civil and Industrial Engineering. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-5643-9.ch010.
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In the context of the fourth industrial revolution, machine –learning based applications, such as 3D Printing, computer vision and robotics, are envisaged to digitize construction. This chapter introduces the reader to the basics of AI and focuses on the role of machine learning in the development of technological applications aimed at the improvement of the construction industry's efficiency and sustainability. It reviews the potential benefits of these applications and identifies factors like e.g. high costs, skills gap, dynamic and risky working environment that typically keep them at a very low practical usage in construction. Furthermore, a bibliometric search reveals that, despite its key role in the digitization vision, machine learning is rarely acknowledged in the relevant ‘Construction 4.0' literature. The chapter also identifies the cybersecurity issues emerging from machine learning applications' use and discusses mitigation strategies and technologies aimed at minimizing the impact of threats.
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Moeti, Michael. "The Impact of Cybersecurity on Industrial Operations Caused by Digital Transformation from Industry 4.0 to Industry 5.0." In The Role of Cybersecurity in the Industry 5.0 Era [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.114961.
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Over the past few years, the notion of Industry 5.0 has emerged as a subsequent phase in industrial revolution. The distinguishing features of Industry 5.0 encompass advanced technologies that include Internet of Things (IoT), artificial intelligence (AI), and robotics integrated into manufacturing processes, resulting in amplified automation and efficiency alongside productivity. However, this ever-growing reliance on digital technologies has accentuated the significance of robust cybersecurity measures like never before. Industry 5.0 distinguishes itself from its predecessor, Industry 4.0, in that it prioritizes human labour over automation and digitalization to foster sustainable and resilient industrial production practices. However, the convergence of cybersecurity issues with this novel paradigm may pose considerable challenges going forward, making a comprehensive analysis of security conditions across both industry paradigms essential for devising effective solutions addressing potential threats. To gain insight into such developments within contemporary industrial transformations as they pertain to cybersecurity concerns during the transition period from Industries 4.0 to Industries 5.0, this chapter conducts a review drawing on numerous academic resources regarding best practices in these domains overall. The resulting findings are analyzed by extracting key themes emanating from multiple research streams before synthesizing them into broader frameworks.
Conference papers on the topic "AI revolution threats"
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Alsalama, Ahmed M., and Mona S. Alzahrani. "Cybersecurity in Oil & Gas 4.0: A Systematic Literature Review of Challenges, Threats, and Mitigating Measures." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222581-ms.
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Abstract Oil & Gas 4.0 refers to the journey of the oil and gas industry toward digital transformation as part of the Fourth Industrial Revolution. Enterprises around the globe are adopting technologies such as Artificial Intelligence (AI), Machine Learning (ML), Cloud Computing, Virtual and Augmented reality to boost overall business productivity. The oil and gas industry is an essential part of the energy sector that plays a vital role in the global economy. Like most international enterprises, this sector is susceptible to cyber-attacks due to its reliance on technology and digital systems. Cyberattacks on oil and gas facilities can cause significant damage to critical infrastructure such as pipelines, refineries, and drilling rigs. These attacks can disrupt the supply of energy resources and lead to environmental disasters. The oil and gas industry deals with sensitive data including information about reserves, production volumes, planned expansions, financial information, and intellectual property related to innovation and research. Cyberattacks can compromise this data leading to financial losses and reputational damage. For all oil and gas companies that are committed to the Oil & Gas 4.0 journey, cybersecurity presents complex challenges and major threats to the business. This systematic literature review aims to identify and analyze the cybersecurity challenges, threats, and mitigations in the oil and gas industry. This review includes comprehensive research of relevant literature published between 2014 and 2023. The findings reveal that the oil and gas industry is facing various cybersecurity challenges, including a significant increase of cyberattacks, a lack of awareness among employees, and inadequate cybersecurity measures. The review also highlights the different types of cyber threats faced by the industry, such as malware attacks, phishing scams, and ransomware attacks. These cyber threats present substantial challenges to the progress of oil and gas companies in implementing digital transformation strategies. This paper provides valuable insights into the current state of cybersecurity in the oil and gas industry and offers recommendations for improving cybersecurity practices to ensure a smooth digital transformation.
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Caccavale, Fiammetta, Carina L. Gargalo, Krist Gernaey, and Ulrich Krühne. "To be fAIr: ethical and fair application of artificial intelligence in virtual laboratories." In SEFI 50th Annual conference of The European Society for Engineering Education. Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788412322262.1398.
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In 1984, the film “The Terminator” predicted that a hostile Artificial Intelligence (AI) will threaten to extinguish humankind by 2029. Even though the real present is quite far from this post-apocalyptic scenario where AI rebels against its creator, a growing concern about the lack of ethical considerations in the use of AI is rapidly spreading, leading to the current “ethics crisis”. The lack of clear regulations is even more alarming considering that AI is becoming an integral part of new educational platforms. This follows the wave of digital transformation mainly induced by the Fourth Industrial Revolution, with advances in digitalization strategies, and the COVID-19 crisis, which forced education institutions worldwide to switch to e-learning. The appeal of AI is its potential to answer the needs of both educators and learners. For example, it can provide help grading assignments, enable tutoring opportunities, develop smart content, personalize and ultimately boost on-line learning. Although the “AI revolution” has great potential to improve and boost digital education, there are no clear regulations in place to ensure an ethical and fair use of AI. Therefore, this work aims to provide a comprehensive overview of the current concerns regarding fairness, accountability, transparency and ethics in AI applied to education, with specific focus on virtual laboratories. The main aspects that this work aims to discuss, and provide possible suggestions for, are: (i) ethical concerns, fairness, bias, equity, and inclusion; (ii) data transparency and digital rights, including data availability, collection, and protection; and, (iii) collaborative approach between disciplines.
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Krishnan, Shoba. "Leadership in the Age of Artificial Intelligence (AI)." In The Integration of AI and Technology in Modern Business Practices. SBS Swiss Business School, 2024. http://dx.doi.org/10.70301/conf.sbs-jabr.2024.1/1.3.
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Artificial intelligence is becoming an integral part of company strategy. AI’s capabilities are always evolving, with the focus shifting from what it can accomplish to what it cannot. Furthermore, substantially transforming in every aspect, the senior management leads from how they raise and coach, to the way they inspire teams, to the way they use AI and Human power together to achieve their goal for the firm, to the manner they drive transformation and challenge. AI promises, concern, and excitement over the wayward role it will play are running High because to its limitless breadth. One thing is clear: ensuring that your organization is prepared. For the paradigm transition, AI is no longer an option. The challenge now is: are leaders ready to go up and deliver the vision, and adapt to Seize the opportunities? To respond, the UAE’s leading smelting manufacturing businesses polled. Over 450 C-Level executives across the country, by analyzing their perspectives on their acceptability and Adaptability within themselves and the organization of the next AI generation. The company, even to further refine the findings, I conducted approximately 12 to 15 interviews with worldwide leaders. The poll and interviews clearly indicated that leaders in general are very Strong see AI as an opportunity, rather than a danger, but they also see the route to the relationship between development and success remains ambiguous. On the one hand, the material opportunity identified by leaders, both for their role and for their organization, was the increased efficiency that the effective use of AI could bring, more effective decision-making, improved risk management, and the creation of innovative products and services. On the other hand, executives were watchful to the potential threat associated with AI. ‘Manpower redundancy’ and ‘data protection’ appeared as the two main concerns for leaders, both as individual roles and their organizations. The implications of these technologies on the workforce and the nature of work have caused Extensive debate and analysis. By 2030, roughly 375 million workers will constitute Approximately 14% of the worldwide workforce may need to migrate into new occupations or acquire Automation and artificial intelligence have influenced the development of new skills. This shift will provide challenges and executives who must adjust to a changing workforce and develop new ways for managing people in a technologically driven workplace. A cross-functional team of researchers at MIT Sloan demonstrated an outstanding gain of up to 40% in highly. Using generative AI to improve skilled workers’ performance (* The term “Generative AI” relates to Deep-learning AI models can generate high-quality writing, graphics, and other content depending on the data on which they were taught has the potential to add trillions to the global economy. This monumental shift will revolutionize the way people work, study, and interact. It has the ability to shake up entire industries and even society as a whole. According to a Boston Consulting Group report, 61% of executives in the Middle East anticipate these technologies will enhance productivity by over 10% by 2024. Despite regional training surpassing global norms, issues remain in fully equipping the personnel and overcoming Future AI regulations. This article offers insight into how leaders anticipate AI’s influence. organizations, employment, and their positions in the Middle East, and how ready they feel to lead through this Revolutionary disruption. We will investigate the factors and determinants of leadership and organization. Leaders should be prepared to navigate the inevitable technological revolution.