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Thematische Bibliographien / Responsible Artificial Intelligence / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Responsible Artificial Intelligence“

Autor: Grafiati

Veröffentlicht am 16. November 2024

Zuletzt aktualisiert am 25. Juli 2025

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Tawei Wang, Tawei Wang. "Responsible Use of Artificial Intelligen." International Journal of Computer Auditing 4, no. 1 (2022): 001–3. http://dx.doi.org/10.53106/256299802022120401001.

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<p>Artificial intelligence (AI) has once again attracted the public&rsquo;s attention in the past decade. Riding on the wave of big data revolution, the development of AI is much more promising than that 50 years ago. One example is ChatGPT (https://openai.com/blog/chatgpt/), which has quickly become a hot topic in the past several months and has brought back all kinds of discussion about AI and decision making. In this editorial, I would like to highlight several perspectives that may help us rethink about the implications of using AI for decision making especially for audit profess

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NATASHA, ANJUM. "ARTIFICIAL INTELLIGENCE." GPH - International Journal Of Computer Science and Engineering 07, no. 01 (2024): 01–11. https://doi.org/10.5281/zenodo.10628529.

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<strong>This research paper provides a comprehensive examination of the evolution and impact of artificial intelligence (AI) across various domains. The study delves into the historical development of AI, tracing its origins from classical rule-based systems to the contemporary era of machine learning and deep neural networks. The paper explores the key technological advancements that have propelled AI research, discussing breakthroughs in natural language processing, computer vision, and reinforcement learning. This study's paper offers a nuanced exploration of the present-day state and futur

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Teng, C. L., A. S. Bhullar, P. Jermain, et al. "Responsible Artificial Intelligence in Radiation Oncology." International Journal of Radiation Oncology*Biology*Physics 120, no. 2 (2024): e659. http://dx.doi.org/10.1016/j.ijrobp.2024.07.1446.

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Gregor, Shirley. "Responsible Artificial Intelligence and Journal Publishing." Journal of the Association for Information Systems 25, no. 1 (2024): 48–60. http://dx.doi.org/10.17705/1jais.00863.

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The aim of this opinion piece is to examine the responsible use of artificial intelligence (AI) in relation to academic journal publishing. The work discusses approaches to AI with particular attention to recent developments with generative AI. Consensus is noted around eight normative themes for principles for responsible AI and their associated risks. A framework from Shneiderman (2022) for human-centered AI is employed to consider journal publishing practices that can address the principles of responsible AI at different levels. The resultant AI principled governance matrix (AI-PGM) for jou

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Haidar, Ahmad. "An Integrative Theoretical Framework for Responsible Artificial Intelligence." International Journal of Digital Strategy, Governance, and Business Transformation 13, no. 1 (2023): 1–23. http://dx.doi.org/10.4018/ijdsgbt.334844.

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The rapid integration of Artificial Intelligence (AI) into various sectors has yielded significant benefits, such as enhanced business efficiency and customer satisfaction, while posing challenges, including privacy concerns, algorithmic bias, and threats to autonomy. In response to these multifaceted issues, this study proposes a novel integrative theoretical framework for Responsible AI (RAI), which addresses four key dimensions: technical, sustainable development, responsible innovation management, and legislation. The responsible innovation management and the legal dimensions form the foun

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Shneiderman, Ben. "Responsible AI." Communications of the ACM 64, no. 8 (2021): 32–35. http://dx.doi.org/10.1145/3445973.

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Dignum, Virginia. "Responsible Artificial Intelligence --- From Principles to Practice." ACM SIGIR Forum 56, no. 1 (2022): 1–6. http://dx.doi.org/10.1145/3582524.3582529.

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The impact of Artificial Intelligence does not depend only on fundamental research and technological developments, but for a large part on how these systems are introduced into society and used in everyday situations. AI is changing the way we work, live and solve challenges but concerns about fairness, transparency or privacy are also growing. Ensuring responsible, ethical AI is more than designing systems whose result can be trusted. It is about the way we design them, why we design them, and who is involved in designing them. In order to develop and use AI responsibly, we need to work towar

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Rodrigues, Rowena, Anais Resseguier, and Nicole Santiago. "When Artificial Intelligence Fails." Public Governance, Administration and Finances Law Review 8, no. 2 (2023): 17–28. http://dx.doi.org/10.53116/pgaflr.7030.

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Diverse initiatives promote the responsible development, deployment and use of Artificial Intelligence (AI). AI incident databases have emerged as a valuable and timely learning resource and tool in AI governance. This article assesses the value of such databases and outlines how this value can be enhanced. It reviews four databases: the AI Incident Database, the AI, Algorithmic, and Automation Incidents and Controversies Repository, the AI Incident Tracker and Where in the World Is AI. The article provides a descriptive analysis of these databases, examines their objectives, and locates them

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Raso, Jennifer. "Responsible AI." McGill Law Journal 69, no. 4 (2024): 417–39. https://doi.org/10.26443/law.v69i4.1627.

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This article examines responsible AI as a public law-like movement that seeks to (self)regulate the design and use of AI systems. Using socio-legal methods, and the Montréal Declaration for a Responsible Development of Artificial Intelligence as an illustrate example, it explores responsible AI’s upshots for digital government. Responsible AI initiatives, this article argues, rely on two binary distinctions: (1) between artificial and natural intelligence, and (2) between the future and present/past effects of AI systems. These conceptual binaries “bind” such initiatives to an impoverished und

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Germanov, Nikolai S. "The concept of responsible artificial intelligence as the future of artificial intelligence in medicine." Digital Diagnostics 4, no. 1S (2023): 27–29. http://dx.doi.org/10.17816/dd430334.

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Active deployment of artificial intelligence (AI) systems in medicine creates many challenges. Recently, the concept of responsible artificial intelligence (RAI) was widely discussed, which is aimed at solving the inevitable ethical, legal, and social problems. The scientific literature was analyzed and the possibility of applying the RAI concept to overcome the existing AI problems in medicine was considered. Studies of possible AI applications in medicine showed that current algorithms are unable to meet the basic enduring needs of society, particularly, fairness, transparency, and reliabili

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Tyrranen, V. A. "ARTIFICIAL INTELLIGENCE CRIMES." Territory Development, no. 3(17) (2019): 10–13. http://dx.doi.org/10.32324/2412-8945-2019-3-10-13.

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The article is devoted to current threats to information security associated with the widespread dissemination of computer technology. The author considers one of the aspects of cybercrime, namely crime using artificial intelligence. The concept of artificial intelligence is analyzed, a definition is proposed that is sufficient for effective enforcement. The article discusses the problems of criminalizing such crimes, the difficulties of solving the issue of legal personality and delinquency of artificial intelligence are shown. The author gives various cases, explaining why difficulties arise

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Hachkevych, Andriy. "Establishing Frameworks for the Responsible Use of Artificial Intelligence in the Ukrainian Judiciary Based on Foreign Experience." Slovo of the National School of Judges of Ukraine, no. 1(50) (May 2, 2025): 45——55. https://doi.org/10.37566/2707-6849-2025-1(50)-3.

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The adoption of new technologies by judges and court users presents various challenges and unpredictable risks, particularly concerning human rights and adherence to established standards of the administration of justice. Therefore, special frameworks should be set to regulate the use of artificial intelligence in the judiciary. These frameworks are expected to create tentative «safety rules» that govern the responsible utilization of artificial intelligence, promoting a more cautious approach. In this article, the author aims to summarize recommendations for Ukrainian judges and other court o

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VASYLKIVSKYI, Mikola, Ganna VARGATYUK, and Olga BOLDYREVA. "INTELLIGENT RADIO INTERFACE WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE." Herald of Khmelnytskyi National University. Technical sciences 217, no. 1 (2023): 26–32. http://dx.doi.org/10.31891/2307-5732-2023-317-1-26-32.

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The peculiarities of the implementation of the 6G intelligent radio interface infrastructure, which will use an individual configuration for each individual subscriber application and flexible services with lower overhead costs, have been studied. A personalized infrastructure consisting of an AI-enabled intelligent physical layer, an intelligent MAC controller, and an intelligent protocol is considered, followed by a potentially novel AI-based end-to-end (E2E) device. The intelligent controller is investigated, in particular the intelligent functions at the MAC level, which may become key com

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Vourganas, Ioannis, Vladimir Stankovic, and Lina Stankovic. "Individualised Responsible Artificial Intelligence for Home-Based Rehabilitation." Sensors 21, no. 1 (2020): 2. http://dx.doi.org/10.3390/s21010002.

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Socioeconomic reasons post-COVID-19 demand unsupervised home-based rehabilitation and, specifically, artificial ambient intelligence with individualisation to support engagement and motivation. Artificial intelligence must also comply with accountability, responsibility, and transparency (ART) requirements for wider acceptability. This paper presents such a patient-centric individualised home-based rehabilitation support system. To this end, the Timed Up and Go (TUG) and Five Time Sit To Stand (FTSTS) tests evaluate daily living activity performance in the presence or development of comorbidit

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Werder, Karl, Balasubramaniam Ramesh, and Rongen (Sophia) Zhang. "Establishing Data Provenance for Responsible Artificial Intelligence Systems." ACM Transactions on Management Information Systems 13, no. 2 (2022): 1–23. http://dx.doi.org/10.1145/3503488.

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Data provenance, a record that describes the origins and processing of data, offers new promises in the increasingly important role of artificial intelligence (AI)-based systems in guiding human decision making. To avoid disastrous outcomes that can result from bias-laden AI systems, responsible AI builds on four important characteristics: fairness, accountability, transparency, and explainability. To stimulate further research on data provenance that enables responsible AI, this study outlines existing biases and discusses possible implementations of data provenance to mitigate them. We first

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Belle, Vaishak. "The quest for interpretable and responsible artificial intelligence." Biochemist 41, no. 5 (2019): 16–19. http://dx.doi.org/10.1042/bio04105016.

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Artificial intelligence (AI) provides many opportunities to improve private and public life. Discovering patterns and structures in large troves of data in an automated manner is a core component of data science, and currently drives applications in computational biology, finance, law and robotics. However, such a highly positive impact is coupled with significant challenges: how do we understand the decisions suggested by these systems in order that we can trust them? How can they be held accountable for those decisions?

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Madhavan, Raj, Jaclyn A. Kerr, Amanda R. Corcos, and Benjamin P. Isaacoff. "Toward Trustworthy and Responsible Artificial Intelligence Policy Development." IEEE Intelligent Systems 35, no. 5 (2020): 103–8. http://dx.doi.org/10.1109/mis.2020.3019679.

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Neri, Emanuele, Francesca Coppola, Vittorio Miele, Corrado Bibbolino, and Roberto Grassi. "Artificial intelligence: Who is responsible for the diagnosis?" La radiologia medica 125, no. 6 (2020): 517–21. http://dx.doi.org/10.1007/s11547-020-01135-9.

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McGregor, Sean. "A Scaled Multiyear Responsible Artificial Intelligence Impact Assessment." Computer 56, no. 8 (2023): 20–27. http://dx.doi.org/10.1109/mc.2022.3231551.

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Kuennen, Christopher S. "Developing Leaders of Character for Responsible Artificial Intelligence." Journal of Character and Leadership Development 10, no. 3 (2023): 52–59. http://dx.doi.org/10.58315/jcld.v10.273.

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Who is responsible for Responsible AI (RAI)? As the Department of Defense (DoD) invests in AI workforce education, this question serves as starting point for an argument that effective training for military RAI demands focused character development for officers. This essay makes that case in three parts. First, while norms around responsibility and AI are likely to evolve, there remains long-standing legal, ethical, and practical precedent to think of commissioned officers as the loci of responsibility for the application of military AI. Next, given DoD’s emphasis on responsibility, it should

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Spellerberg, Annette. "Global assessment of Responsible Artificial Intelligence in cities." disP - The Planning Review 60, no. 4 (2024): 88–89. https://doi.org/10.1080/02513625.2024.2510127.

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Nazim Ahmed Khan. "Ensuring Ethical and Responsible Use of Artificial Intelligence." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 376–85. https://doi.org/10.32996/jcsts.2025.7.5.47.

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Artificial Intelligence has rapidly transitioned from theoretical research to a pervasive force across industries, necessitating robust frameworks for ethical implementation. This technical review explores comprehensive approaches to ensuring AI systems align with societal values and legal requirements while maintaining technical excellence. The article encompasses critical dimensions of responsible AI, including bias mitigation strategies that address algorithmic prejudice through pre-processing techniques, in-processing constraints, and post-deployment monitoring. Explainability mechanisms l

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Sugiri, Widjaja. "Moral Dimensions of Artificial Intelligence." MODERATE: Journal of Religious, Education, and Social 1, no. 2 (2024): 117–36. https://doi.org/10.46362/moderate.v1i2.8.

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This article examines the integration of Artificial Intelligence (AI) in education through the lens of Christian ethics. With the rapid advancement of AI technologies, there is a growing need to explore how these innovations align with Christian values such as justice, human dignity, and compassion. The purpose of this study is to evaluate the moral dimensions of AI usage in educational settings and propose a framework for its ethical application. Using a qualitative research approach, the article conducts a literature review and case study analysis to understand how AI can be used responsibly

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Kumar, Sarvesh, Upasana Gupta, Arvind Kumar Singh, and Avadh Kishore Singh. "Artificial Intelligence." Journal of Computers, Mechanical and Management 2, no. 3 (2023): 31–42. http://dx.doi.org/10.57159/gadl.jcmm.2.3.23064.

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As we navigate the digital era of the 21st century, cyber security has grown into a pressing societal issue that requires innovative, cutting-edge solutions. In response to this pressing need, Artificial Intelligence (AI) has emerged as a revolutionary instrument, causing a paradigm shift in cyber security. AI's prowess resides in its capacity to process and analyze immense quantities of heterogeneous cyber security data, thereby facilitating the efficient completion of crucial tasks. These duties, which include threat detection, asset prioritization, and vulnerability management, are performe

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Buzu, Irina. "Shaping the future: responsible regulation of generative artificial intelligence." Vector European, no. 1 (April 2024): 14–19. http://dx.doi.org/10.52507/2345-1106.2024-1.03.

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Generative AI's potential to revolutionize various fields is undeniable, but its ethical implications and potential misuse raise concerns. This article explores how existing legal frameworks, like the EU's GDPR, are adapting to address these challenges, while also examining emerging regulations around the world, such as the EU AI Act. We will delve into the diverse approaches to regulating generative AI, highlighting the focus on transparency, data minimization, risk mitigation, and responsible development. The discussion will also touch upon the crucial role of collaboration and diverse persp

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Igbokwe, Innocent C. "Artificial Intelligence in Educational Leadership: Risks and Responsibilities." European Journal of Arts, Humanities and Social Sciences 1, no. 6 (2024): 3–10. http://dx.doi.org/10.59324/ejahss.2024.1(6).01.

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Artificial intelligence (AI) is transforming various sectors globally, including education. In education, artificial intelligence has the potential to significantly enhance educational leadership by improving decision-making, streamlining administrative tasks, and personalizing student learning experiences. However, the integration of AI into educational systems also introduces risks related to bias, privacy, transparency, and accountability. Educational leaders bear the responsibility of managing these risks and ensuring that AI is used ethically and responsibly. This paper explores the risks

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Igbokwe, Innocent C. "Artificial Intelligence in Educational Leadership: Risks and Responsibilities." European Journal of Arts, Humanities and Social Sciences 1, no. 6 (2024): 3–10. https://doi.org/10.59324/ejahss.2024.1(6).01.

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Artificial intelligence (AI) is transforming various sectors globally, including education. In education, artificial intelligence has the potential to significantly enhance educational leadership by improving decision-making, streamlining administrative tasks, and personalizing student learning experiences. However, the integration of AI into educational systems also introduces risks related to bias, privacy, transparency, and accountability. Educational leaders bear the responsibility of managing these risks and ensuring that AI is used ethically and responsibly. This paper explores the risks

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Zainuddin, Nurkhamimi. "Does Artificial Intelligence Cause More Harm than Good in Schools?" International Journal of Language Education and Applied Linguistics 14, no. 1 (2024): 1–3. http://dx.doi.org/10.15282/ijleal.v14i1.10432.

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The integration of artificial intelligence (AI) in schools presents significant challenges and risks requiring responsible and ethical management. Despite warnings from tech leaders, major corporations push AI adoption in schools, leading to privacy violations, biased algorithms and curricular misinformation. Generative AI, though enhancing resources, risks disseminating false information. Biased AI models perpetuate inequalities, especially for marginalized groups. The financial burdens of AI implementation worsen budget constraints, and AI-driven surveillance raises privacy concerns. Governa

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Aulia Rahman, Rofi, Valentino Nathanael Prabowo, Aimee Joy David, and József Hajdú. "Constructing Responsible Artificial Intelligence Principles as Norms: Efforts to Strengthen Democratic Norms in Indonesia and European Union." PADJADJARAN Jurnal Ilmu Hukum (Journal of Law) 9, no. 2 (2022): 231–52. http://dx.doi.org/10.22304/pjih.v9n2.a5.

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Artificial Intelligence influences democratic norms and principles. It affects the quality of democracy since it triggers hoaxes, irresponsible political campaign, and data privacy violations. The study discusses the legal framework and debate in the regulation of Artificial Intelligence in the European Union legal system. The study is a doctrinal legal study with conceptual and comparative approach. It aims to criticize the current doctrine of democracy. The analysis explored the law on election and political party in Indonesia to argue that the democratic concept is outdated. On the other ha

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Papagiannidis, Emmanouil, Patrick Mikalef, and Kieran Conboy. "Responsible artificial intelligence governance: A review and research framework." Journal of Strategic Information Systems 34, no. 2 (2025): 101885. https://doi.org/10.1016/j.jsis.2024.101885.

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Sharma, Ravi S., Samia Loucif, Nir Kshetri, and Jeffrey Voas. "Global Initiatives on “Safer” and More “Responsible” Artificial Intelligence." Computer 57, no. 11 (2024): 131–37. http://dx.doi.org/10.1109/mc.2024.3447488.

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Lu, Huimin, Mohsen Guizani, and Pin-Han Ho. "Editorial Introduction to Responsible Artificial Intelligence for Autonomous Driving." IEEE Transactions on Intelligent Transportation Systems 23, no. 12 (2022): 25212–15. http://dx.doi.org/10.1109/tits.2022.3221169.

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Upadhyay, Umashankar, Anton Gradisek, Usman Iqbal, Eshita Dhar, Yu-Chuan Li, and Shabbir Syed-Abdul. "Call for the responsible artificial intelligence in the healthcare." BMJ Health & Care Informatics Online 30, no. 1 (2023): e100920. http://dx.doi.org/10.1136/bmjhci-2023-100920.

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The integration of artificial intelligence (AI) into healthcare is progressively becoming pivotal, especially with its potential to enhance patient care and operational workflows. This paper navigates through the complexities and potentials of AI in healthcare, emphasising the necessity of explainability, trustworthiness, usability, transparency and fairness in developing and implementing AI models. It underscores the ‘black box’ challenge, highlighting the gap between algorithmic outputs and human interpretability, and articulates the pivotal role of explainable AI in enhancing the transparen

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Elbah, Zoulaikha. "Towards responsible use of Artificial Intelligence in academic writing." STUDIES IN EDUCATION SCIENCES 6, no. 2 (2025): e16073. https://doi.org/10.54019/sesv6n2-009.

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Artificial intelligence has greatly invaded our life at all levels. AI tools are gaining an increasing popularity because of their claimed rapidity and effectiveness in accomplishing various daily activities. People of different ages are becoming addicted to AI applications. Perhaps one of the main sectors that have been affected by AI invasion is that of education. Nowadays, it becomes part of many teachers’ and students’ routine to rely, in one way or another, on AI services to do educational tasks. Especially when it comes to producing a piece of academic writing, AI with all its great pote

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Madaoui, Nadjia. "The Impact of Artificial Intelligence on Legal Systems: Challenges and Opportunities." Problems of legality 1, no. 164 (2024): 285–303. http://dx.doi.org/10.21564/2414-990x.164.289266.

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The integration of artificial intelligence into legal systems has engendered a paradigm shift in the legal landscape, presenting a complex interplay of challenges and opportunities for the legal profession and the justice system. This Comprehensive research delves into the multifaceted impact of artificial intelligence on legal systems, focusing on its transformative potential and implications. Through an extensive analysis of the integration of artificial intelligence technologies, including natural language processing, machine learning, and predictive analytics, the study illuminates the pro

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Madaoui, Nadjia. "The Impact of Artificial Intelligence on Legal Systems: Challenges and Opportunities." Problems of legality 164 (2024) (May 10, 2024): 285–303. https://doi.org/10.21564/2414-990X.164.289266.

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The integration of artificial intelligence into legal systems has engendered a paradigm shift in the legal landscape, presenting a complex interplay of challenges and opportunities for the legal profession and the justice system. This Comprehensive research delves into the multifaceted impact of artificial intelligence on legal systems, focusing on its transformative potential and implications. Through an extensive analysis of the integration of artificial intelligence technologies, including natural language processing, machine learning, and predictive analytics, the study illuminates the pro

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O'g'li, Eshmamatov Ruslan Xasan. "THE IMPACT OF ARTIFICIAL INTELLIGENCE ON LANGUAGE LEARNING." International Journal of Pedagogics 4, no. 11 (2024): 101–5. http://dx.doi.org/10.37547/ijp/volume04issue11-20.

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This article explores the significant impact of artificial intelligence (AI) oneducation, particularly in the field of English language learning. By exploring current advances in artificial intelligence technology, including natural language processing and machine learning algorithms, the article highlights how AI-based tools and applications are revolutionizing the way Englishis taught and learned. In addition, the article discusses potential challenges and ethical considerations associated with the integration of AI into education, emphasizing the importance of responsible and inclusive impl

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Mayank Chhatwal. "Artificial Intelligence and Data Concerns for Government Sector Undertakings." Journal of Electrical Systems 20, no. 2 (2024): 2792–801. http://dx.doi.org/10.52783/jes.6852.

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The integration of Artificial Intelligence (AI) within government sector undertakings (PSUs) represents a critical step toward achieving enhanced operational efficiency, improved service delivery, and more informed decision-making processes. However, this transformative potential is accompanied by significant concerns, particularly around data privacy, security, governance, and ethical issues. This paper seeks to explore the nuanced relationship between AI and data concerns in PSUs, evaluating the advantages, challenges, and best practices for managing these technologies responsibly. In doing

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HURZHII, S. "Trends in the application of artificial intelligence technologies in the military and technical sphere." INFORMATION AND LAW, no. 3(50) (September 4, 2024): 136–46. http://dx.doi.org/10.37750/2616-6798.2024.3(50).311713.

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The role and significance of artificial intelligence technologies in the military-technical sphere are determined. The principles of using artificial intelligence technologies in the activities of the armed forces are outlined. Attention is focused on the threats and risks posed by the use of artificial intelligence in the military-technical sphere. The peculiarities of the legislative provision of the military use of artificial intelligence technologies in the USA are highlighted. Detailed aspects of the technological implementation of artificial intelligence during the execution of military

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Md Wasim Ahmed. "Artificial Intelligence and Legal Ethics." International Journal of Law and Politics Studies 6, no. 5 (2024): 226–37. https://doi.org/10.32996/ijlps.2024.6.5.12.

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AI has revolutionized the practice of law thus resulting in major developments, but the ethical implications of the same are complex and elaborate. Finally, this paper examines how professional organizations can serve as leaders in determining the ethical application of AI particularly in the legal profession. Through setting of ethical standards, as well as providing information and materials for learning, such organizations assist legal professions in the exercise of responsible usage of AI technologies. The discussion raises the demographic concerns of the AI systems, efficiency, transparen

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Roșca, Cosmina –. Mihaela, Ionuț Adrian Gortoescu, and Marius Radu Tănase. "ARTIFICIAL INTELLIGENCE – POWERED VIDEO CONTENT GENERATION TOOLS." Romanian Journal of Petroleum & Gas Technology 5 (76), no. 1 (2024): 131–44. http://dx.doi.org/10.51865/jpgt.2024.01.10.

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This article discusses the considerations of artificial intelligence-powered video content generation tools, exploring their applications, ethical considerations, and evaluation criteria. Through discussions of various artificial intelligence (AI) tools, including features, limitations, and implications, the authors analyze the evolving landscape of video creation in the digital age. Key themes include the ethical implications of deep fake technology and the importance of responsible AI principles, exemplified by Microsoft's guidelines. This paper identifies five of the most promoted free soci

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K. K, Pragya. "Ethics of Artificial Intelligence(AI)." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33762.

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In today's research and development, artificial intelligence (AI) ethics are a complex and urgent issue. Concerns about artificial intelligence (AI) systems' possible effects on people, communities, and the larger global environment are raised as these systems are incorporated into more and more facets of society. This study examines the ethical implications of artificial intelligence (AI), looking at topics including privacy, fairness, accountability, transparency, and the possibility of prejudice and discrimination in AI algorithms and decision-making processes. The study endeavours to contr

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Alseqyani, Abdulrahman, Saad Alotaibi, and Saud Alotaibi. "Ethical Consideration in Artificial Intelligence Development and Deployment." International Journal of Artificial Intelligence & Applications 16, no. 2 (2025): 01–06. https://doi.org/10.5121/ijaia.2025.16201.

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Artificial Intelligence (AI) systems are transforming various industries, offering new opportunities and efficiencies. However, alongside these benefits, the development and deployment of AI raise significant ethical considerations. This paper examines the ethical issues surrounding AI, including bias, transparency, privacy, accountability, and societal impact. It proposes guidelines for ensuring the responsible use of AI technologies, emphasizing the importance of prioritizing ethical principles such as fairness, transparency, and accountability. However, the widespread adoption of AI also br

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AIRCC. "Ethical Consideration in Artificial Intelligence Development and Deployment." International Journal of Artificial Intelligence & Applications (IJAIA) 16, no. 2 (2025): 1–6. https://doi.org/10.5121/ijaia.2025.16201.

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Artificial Intelligence (AI) systems are transforming various industries, offering new opportunities and efficiencies. However, alongside these benefits, the development and deployment of AI raise significant ethical considerations. This paper examines the ethical issues surrounding AI, including bias, transparency, privacy, accountability, and societal impact. It proposes guidelines for ensuring the responsible use of AI technologies, emphasizing the importance of prioritizing ethical principles such as fairness, transparency, and accountability. However, the widespread adoption of AI also br

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Cordero, Jorge, Jonathan Torres-Zambrano, and Alison Cordero-Castillo. "Integration of Generative Artificial Intelligence in Higher Education: Best Practices." Education Sciences 15, no. 1 (2024): 32. https://doi.org/10.3390/educsci15010032.

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Generative artificial intelligence (GenAI) is transforming various sectors, including education. This study investigates the integration of GenAI in higher education, focusing on its potential to enhance teaching and learning. Through a series of workshops and courses delivered to university professors, it examines opportunities such as improved resource creation and challenges like ethical AI usage, proposing best practices for the sustainable implementation of GenAI in the classroom. The main objective is to analyze how the use of GenAI tools such as ChatGPT, Gemini, and Claude can improve t

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Kurniawan, Itok. "Analisis terhadap Artificial Intelligence sebagai Subjek Hukum Pidana." Mutiara : Jurnal Ilmiah Multidisiplin Indonesia 1, no. 1 (2023): 35–44. http://dx.doi.org/10.61404/jimi.v1i1.4.

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This article discusses issues related to the existence of artificial intelligence as a legal subject, and criminal liability when artificial intelligence commits criminal acts. The purpose of this study is to find out the categorization of artificial intelligence as a legal object or legal subject, and to find out to whom criminal responsibility is assigned when artificial intelligence commits a crime. The research method used in writing this article is normative legal research, with a conceptual approach. The results of this study are that artificial intelligence is not a legal subject, becau

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Dasaraiahgari, Vamsikrishna. "Ethical Imperatives in the Age of Artificial Intelligence." European Journal of Computer Science and Information Technology 13, no. 29 (2025): 40–49. https://doi.org/10.37745/ejcsit.2013/vol13n294049.

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This article explores the ethical dimensions of artificial intelligence development and proposes a comprehensive framework for ensuring AI systems align with societal values and expectations. As AI technologies rapidly transform society across domains, the imperative for responsible development frameworks has never been more critical. The concept of "Responsible AI" represents a paradigm that maximizes benefits while systematically mitigating potential risks. The article examines four cornerstones of AI ethics: accountability, privacy, robustness, and non-maleficence, which form the ethical fo

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Balas, Hashim, and Reem Shatnawi. "Legal framework for AI applications." F1000Research 13 (April 29, 2024): 418. http://dx.doi.org/10.12688/f1000research.147019.1.

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Artificial intelligence (AI), the most widespread technological term, has become an integral part of human daily life. People are becoming increasingly dependent on AI-powered devices; thus, it is now essential to have a legal framework to oversee artificial intelligence's various uses and legal peculiarities. As artificial intelligence has entered all areas of life and into various sectors, which requires examining in detail the legal nature of artificial intelligence, determining the laws that must be applied to it, and identifying the people or entities responsible for it to determine the s

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Wangdi, Pema. "Integrating Artificial Intelligence in Education:." International Journal of Research in STEM Education 6, no. 2 (2024): 50–60. http://dx.doi.org/10.33830/ijrse.v6i2.1722.

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Artificial Intelligence (AI) is transforming educational practices by facilitating personalized learning, automating grading processes, and enhancing support through intelligent tutoring systems. This systematic review explores AI's integration in educational settings, highlighting its contributions to increased productivity and tailored learning experiences. It addresses key challenges including data privacy, algorithmic bias, and the need for enhanced accountability and transparency in AI applications. The review also discusses strategic recommendations for embedding ethical AI into curricul

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Agha, Azwar M. Q. "Artificial Intelligence in Social Media." Cihan University-Erbil Journal of Humanities and Social Sciences 9, no. 1 (2025): 125–32. https://doi.org/10.24086/cuejhss.v9n1y2025.pp125-132.

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The integration of artificial intelligence (AI) into social media platforms has revolutionized how individuals and organizations interact, communicate, and consume information. This literature review explores the multifaceted opportunities and challenges presented by AI in social media. It examines AI-driven technologies such as natural language processing, computer vision, and machine learning in the context of content moderation, personalized recommendations, sentiment analysis, and user engagement. In addition, the review discusses ethical concerns, including data privacy, algorithmic bias,

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