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Articles de revues sur le sujet « Artificial intelligence in governance »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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1

Al Dajeh, Bakhit Moh’d. "Artificial Intelligence Governance." Journal of Ecohumanism 3, no. 4 (2024): 300–313. http://dx.doi.org/10.62754/joe.v3i4.3515.

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Research on AI governance is important towards potentially useful and constraining affordable misuse, reduce new risks and economic trends that threaten to disrupt public political and economic trends, and drive off target as interest in advanced AI systems and the norms, focal points, and use of new AI research are potentially transformative and governance institutions aim to prevent. Potential public benefits from policy community re-using AI research are enormous, including reduced economic instability. A fundamental challenge in AI governance is a cognitive framing challenge: governing AI

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Taeihagh, Araz. "Governance of artificial intelligence." Policy and Society 40, no. 2 (2021): 137–57. http://dx.doi.org/10.1080/14494035.2021.1928377.

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Mannes, Aaron. "Governance, Risk, and Artificial Intelligence." AI Magazine 41, no. 1 (2020): 61–69. http://dx.doi.org/10.1609/aimag.v41i1.5200.

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Artificial intelligence, whether embodied as robots or Internet of Things, or disembodied as intelligent agents or decision-support systems, can enrich the human experience. It will also fail and cause harms, including physical injury and financial loss as well as more subtle harms such as instantiating human bias or undermining individual dignity. These failures could have a disproportionate impact because strange, new, and unpredictable dangers may lead to public discomfort and rejection of artificial intelligence. Two possible approaches to mitigating these risks are the hard power of regul

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Krotova, Margarita K. "Artificial Intelligence in Corporate Governance." Energy Law Forum, no. 2 (2024): 39–45. http://dx.doi.org/10.61525/s231243500031370-5.

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The prevalent artificial intelligence (AI) applications of today merely exemplify the full potential of artificial intelligence in the business realm. Artificial intelligence is poised to assume a general role in the management of companies, as it is increasingly being used as a tool to support the administrative work and decision-making of directors and managers. While the appointment of a robotic director may still seem like science fiction, the widespread use of artificial intelligence in corporate governance has proven to streamline the decision-making process. In general, corporate laws a

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Kshetri, Nir. "Economics of Artificial Intelligence Governance." Computer 57, no. 4 (2024): 113–18. http://dx.doi.org/10.1109/mc.2024.3357951.

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Ustahaliloğlu, Mustafa Kenan. "Artificial intelligence in corporate governance." Corporate Law and Governance Review 7, no. 1 (2025): 123–34. https://doi.org/10.22495/clgrv7i1p11.

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Artificial intelligence (AI) has transformed corporate governance, offering unparalleled opportunities for efficiency and decision-making and raising a host of complex legal questions. This article explores the use of AI in corporate governance, addressing the changing role of AI, ethical and legal issues, questions of liability and accountability, considerations of intellectual property, and data privacy issues (Dastani & Yazdanpanah, 2023). The research explores why this topic is of paramount importance, given the increasing adoption of AI in the corporate sector, and identifies the rese

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Hasan, A. K. M. Kamrul. "Governance of Generative Artificial Intelligence." International Journal of Knowledge Management 21, no. 1 (2025): 1–21. https://doi.org/10.4018/ijkm.383061.

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The field of knowledge management and knowledge management systems is evolving and dynamic. In the era of developed information technology systems, the dynamics of knowledge creation and dissemination have also changed. Generative artificial intelligence (GenAI)—an embedded entity in the knowledge management system—has become a prominent area of research nowadays, while accountability, transparency, and ethics are common research agendas in institutional economics related to GenAI. The research in this paper has investigated the convictions behind GenAI adoption and how to develop a GenAI gove

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Mahima, Gupta. "Artificial Intelligence: Issues & Challenges." RESEARCH REVIEW International Journal of Multidisciplinary 4, no. 1 (2019): 35–37. https://doi.org/10.5281/zenodo.2536436.

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In an environment of growing technology, it is important to understand &bdquo;Artificial Intelligence". It is a buzz word today in technology sphere. This is being used in improving efficiency without changing structure of an established process. This process can be imparting education at any level. Artificial Intelligence (AI) is best used during e-Governance (it can be in business, manufacturing or education). E-Governance best used can be in education at any level. Today India is one of the countries in the world in use of internet. It is a known fact that many Higher education institutions

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Zhang, Haoming. "Research and Practical Exploration of New Models of Social Governance in the Age of Artificial Intelligence." SHS Web of Conferences 179 (2023): 01017. http://dx.doi.org/10.1051/shsconf/202317901017.

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With the rapid development of artificial intelligence, social governance is facing new challenges and opportunities. This study aims to explore new models of social governance in the era of artificial intelligence, in order to contribute to social stability and development. Through literature review and empirical research, this paper first reviews the rapid application of artificial intelligence technology and the emergence of artificial intelligence. literature review and empirical research, this paper first reviews the rapid application of artificial intelligence technology and the emergence

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Turluev, Rizvan, and Laura Hadjieva. "Artificial Intelligence in Corporate Governance Systems." SHS Web of Conferences 93 (2021): 03015. http://dx.doi.org/10.1051/shsconf/20219303015.

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The presence of a direct causal relationship between management decisions and the analytical and research role of information allows us to prove the strategic importance of information resources. Typically, the need for data is considered at the management level of a company or organization. This position indicates the unambiguity of the confirmation regarding the results of the analyzed data and the possibility of their monetization. Information data is a kind of fundamental basis, demanded by the key structural links of any company. Information serves as an effective identifier of the compan

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Leizhen, Zang, Song Xiongwei, and Yan Changwu. "Trustworthy Artificial Intelligence for Social Governance." Social Sciences in China 45, no. 2 (2024): 135–51. http://dx.doi.org/10.1080/02529203.2024.2367319.

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NASR, HAMADA MOHAMED ABDELATI, Maher Ibrahim Ebed Emam, Mohamed Elaalim Adam Ahmed, and Ali Saeed Alshamrani. "The Role of Artificial Intelligeence in Supporting Commercial Companies Governance." Journal of Ecohumanism 3, no. 4 (2024): 754–70. http://dx.doi.org/10.62754/joe.v3i4.3587.

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This study aims to address the role of artificial intelligence in supporting the governance of commercial companies, through descriptive and comparative analytical approach.The importance of the study was that governance is one of the most important mechanisms for improving companies’ performance and ensuring the integrity and transparency of their transactions, adopting artificial intelligence to support corporate governance is considered one of the most important features of good governance.The researcher addressed this study through two sections, The first section is devoted to the nature o

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Wang, Shuheng. "Research on Generative Artificial Intelligence Management." International Journal of Computer Science and Information Technology 2, no. 2 (2024): 350–56. https://doi.org/10.62051/ijcsit.v2n2.41.

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As a new technology, generative artificial intelligence technology not only promotes technological change, but also brings many governance risks because of its unique technical logic. For example, the introduction of massive data sets in the training process of generative artificial intelligence has the risk of data infringement, and the reinforcement learning model based on human feedback may exacerbate the generation and dissemination of false information, thus bringing a series of risks. Although the current law of our country has formed a preliminary framework for the regulation of generat

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Eom, Juhee. "Artificial intelligence governance theory – Artificial intelligence within constitutional principles and power structure –." YONSEI LAW JOURNAL 44 (February 28, 2024): 213–54. http://dx.doi.org/10.33606/yla.44.7.

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Hilb, Michael. "Toward artificial governance? The role of artificial intelligence in shaping the future of corporate governance." Journal of Management and Governance 24, no. 4 (2020): 851–70. http://dx.doi.org/10.1007/s10997-020-09519-9.

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Abstract The article explores the impact of the ongoing progress and adaptation of artificial intelligence on the practice of the corporate governance. It applies three lenses to artificial governance—the business, technology and society lenses—to assess the desirability, feasibility and responsibility of automating board-level decision-making to ensure effective corporate governance. Based on an assessment of the potential and limitations of human and machine learning for effective board-level decision-making, the article proposes five scenarios of artificial governance, i.e. assisted, augmen

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DOU, Yayu. "Exploration of Ethical Risks and Governance Paths in Artificial Intelligence." Academic Frontiers Publishing Group 1, no. 2 (2024): 44–50. https://doi.org/10.62989/jcls.2024.1.2.44.

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Tavberidze, Nino. "Artificial Intelligence as a Development Tool for Digital Governance." Vectors of Social Sciences, no. 9 (May 29, 2025): 16–23. https://doi.org/10.51895/vss9/tavberidze.

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In the era of technology, the digital transformation of public organizations, less bureaucracy, and flexible services are vital. In the wake of digital governance, the term artificial intelligence (hereinafter - AI) has been gaining ground since the twentieth century, which has an inexhaustible potential to improve organizational processes. Digital governance and artificial intelligence are the latest words in the development of modern technologies in the world. Among them, this is also a novelty for the Georgian public sector. Although it is difficult to determine the specific timing of the i

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Peng, Gao, and Zixing Zeng. "The Core Connotations, Fundamental Goals, Realistic Dilemmas and Practical Paths of Aligning the Value of Artificial Intelligence." Philosophy and Social Science 1, no. 12 (2024): 38–43. https://doi.org/10.62381/p243c06.

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Artificial intelligence value alignment is a cutting-edge topic discussed in the academic community in recent years. In terms of recent relevant research results, the academic community still needs to deepen its research on the goals and paths of artificial intelligence. In view of this, this article mainly uses the method of literature research, implementing the principles of unifying theory and practice, logic and history as well as truth and value scales to study the core connotation, fundamental goals and practical paths of artificial intelligence value alignment. The core connotations of

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Jung, Soyoung. "The Governance analysis of the European Union's Artificial Intelligence Act." YONSEI LAW JOURNAL 39 (July 31, 2022): 33–65. http://dx.doi.org/10.33606/yla.39.2.

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Rassolov, I. M., and S. G. Chubukova. "Artificial Intelligence and Effective Governance: Legal Framework." Kutafin Law Review 9, no. 2 (2022): 309–28. http://dx.doi.org/10.17803/2713-0525.2022.2.20.309-328.

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Artificial intelligence (AI) use in the state governance structures is obviously on the rise. Cognitive technologies have potential to transform the government sector — by reducing expenses, mundane chores, coping with resource limitations, making more accurate projections, and implementing AI into an array of organizational processes and systems. Methods. General research methods: analysis, synthesis, logical method were employed to study certain concepts and legal categories and their interrelations (artificial intelligence, artificial intelligence technologies, governance system, machine-re

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Ali Karami. "Artificial Intelligence Governance in the European Union." Journal of Electrical Systems 20, no. 11s (2024): 2706–20. https://doi.org/10.52783/jes.7938.

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The European Union has taken an active stance in regulating AI through legislative initiatives, ethical guidelines, and consultation with stakeholders (European institutions, companies and governments) and aims to lead the global AI landscape by balancing AI advances with the social values of citizens. Through AI governance, the Union seeks to create a regulatory framework that promotes innovation while ensuring the protection of fundamental rights, safety, and the public interest. This article aims to examine the EU mechanisms for AI governance. The main research question is what are the mo

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Kurmangali, M. Sh, and R. A. Korzhumbayev. "Global governance of artificial intelligence and its reflection at the national level (some basic legal and technological aspects)." Bulletin of the Karaganda University “Law Series” 11830, no. 2 (2025): 67–76. https://doi.org/10.31489/2025l2/67-76.

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The purpose of the article is to conduct a scientific and expert analysis of the current legal and technological aspects of global governance of artificial intelligence and its reflection at the national level using the case of Kazakhstan. The research question is to analyze global trends in the field of artificial intelligence, and to identify opportunities for Kazakhstan to participate in the processes of global governance of artificial intelligence and international cooperation in this area, as well as in the formation of policies, rules and specific measures for the development of artifici

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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 risksfa

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김길수. "An Exploratory Study on Artificial Intelligence Governance." Korean Journal of Local Government & Administration Studies 33, no. 2 (2019): 219–36. http://dx.doi.org/10.18398/kjlgas.2019.33.2.219.

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Boni, Michał. "Artificial Intelligence and Governance: Going Beyond Ethics." European View 20, no. 2 (2021): 248–49. http://dx.doi.org/10.1177/17816858211061791.

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Gu, Peiyu. "Global Artificial Intelligence Governance: Challenges and Complications." Science Insights 42, no. 6 (2023): 975–79. http://dx.doi.org/10.15354/si.23.re596.

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The development of artificial intelligence (AI) is bringing transformative changes to the political landscape of the world by having profound effects on numerous spheres. In addition, it poses challenges to global governance by intensifying international competition, fostering aggressive diplomacy, and subverting existing international norms. This study seeks to investigate the challenges of AI development to global economic and political governance, as well as the challenges of global AI regulation, in order to provide recommendations for the development of international AI regulatory framewo

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Al-Mahameed, Mohammad. "Towards a legal framework for corporate governance amid artificial intelligence." Corporate Law and Governance Review 6, no. 3 (2024): 113–21. http://dx.doi.org/10.22495/clgrv6i3p12.

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This paper addresses the procedures to develop a legal framework for corporate governance amid artificial intelligence technology in Jordanian legislation. The analytical and descriptive approach is adopted to analyze the texts of the Jordanian Companies Law No. 22 of 1997, its amendments, and Instructions for the Corporate Governance for Shareholding Listed Companies for the year 2017. Though the Jordanian legislation has established rules and principles of governance, whether, in the corporate law or governance instructions, the Jordanian legislation does not incorporate legal texts that sim

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Dr., G.Sunil Kumar, and V.Govindu Dr. "Artificial Intelligence in Local Governance in Andhra Pradesh." Journal of Scholastic Engineering Science and Management (JSESM), A Peer Reviewed Universities Refereed Multidisciplinary Research Journal 4, no. 4 (2025): 1–8. https://doi.org/10.5281/zenodo.15152421.

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The integration of Artificial Intelligence (AI) in local governance has the potential to revolutionize public administration, particularly in developing regions. This study examines the application and impact of AI in local governance in Andhra Pradesh, India. Andhra Pradesh has been at the forefront of leveraging technology for governance, using AI-powered solutions to enhance efficiency, transparency, and citizen engagement. AI is employed in areas such as public service delivery, infrastructure management, predictive analytics for decision-making, and social welfare program monitoring.&nbsp

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DE LA TORRE JARAMILLO, EDUARDO SERGIO. "INTELIGENCIA ARTIFICIAL, DERECHO Y GOBERNANZA (ARTIFICIAL INTELLIGENCE, LAW AND GOVERNANCE)." Universos Jurídicos 21, no. 21 (2023): 90–106. http://dx.doi.org/10.25009/uj.v21i21.2668.

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La Inteligencia Artificial está modificando todos los ámbitos profesionales, y la vida humana en sí, de allí que esté alterando el derecho, la política, la democracia; en una primera fase con las redes sociales, ahora con la irrupción del ChatGPT, lo que significa que su efecto disruptivo aumentará en el corto plazo. Dado lo anterior, el siguiente artículo comparte algunas variables realizando un estudio sobre el impacto del uso de la IA en las políticas, que las convierten en más eficaces y eficientes en temas de salud, educación, agricultura, medio ambiente, entre las más sobresalientes.&#x0

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S*, Wang, and Xia Z. "Development Trends of Artificial Intelligence Ethics." Journal of Biomedical Research & Environmental Sciences 5, no. 5 (2024): 488–95. http://dx.doi.org/10.37871/jbres1918.

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Artificial Intelligence Ethics is playing an important role with the development of Artificial Intelligence (AI). It is popular recognized that obeying to Artificial Intelligence Ethics guidelines and principles may resolve so many problems caused by Artificial Intelligence. This paper reviewed the development history of Artificial Intelligence Ethics, listed the main guidelines and principles of Artificial Intelligence Ethics, proposed the methods of Artificial Intelligence Ethics governance, discussed related algorithms to solve Artificial Intelligence Ethics problems.

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Wang, Ruishu, Jiannan Li, Wanbing Shi, and Xin Li. "Application of Artificial Intelligence Techniques in Operating Mode of Professors’ Academic Governance in American Research Universities." Wireless Communications and Mobile Computing 2021 (November 18, 2021): 1–7. http://dx.doi.org/10.1155/2021/3415125.

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Artificial intelligence technology is an important transformative force for teaching innovation in the intelligent era. It is being widely used in American school teaching, including the design of intelligent tutoring systems to achieve precise problem solving, the machine learning technology to ensure personalized activity design, the creation of intelligent virtual reality to promote classroom teaching contextualization, and the development of intelligent evaluation systems to ensure the scientific evaluation of capabilities. In the process of advancing the teaching and application of artifi

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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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Wicaksono, Januar Agung, Aris Puji Widodo, and Kusworo Adi. "Systematic Literature Review on Information Technology Governance in Government." Telematika 20, no. 2 (2023): 226. http://dx.doi.org/10.31315/telematika.v20i2.9642.

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Purpose: This article aims to assist the government in developing better, more efficient, and sustainable public governance by utilizing information technology and artificial intelligence. The article provides insights on how information technology and artificial intelligence can be applied in public governance to improve the efficiency, effectiveness, and sustainability of public services, as well as to enhance public trust in the government.Design/Method/Approach: The method used in this article is a Systematic Literature Review (SLR), which is a systematic and methodological research method

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Maas, Matthijs M. "Innovation-Proof Global Governance for Military Artificial Intelligence?" Journal of International Humanitarian Legal Studies 10, no. 1 (2019): 129–57. http://dx.doi.org/10.1163/18781527-01001006.

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Amidst fears over artificial intelligence ‘arms races’, much of the international debate on governing military uses of AI is still focused on preventing the use of lethal autonomous weapons systems (laws). Yet ‘killer robots’ hardly exhaust the potentially problematic capabilities that innovation in military AI (mai) is set to unlock. Governance initiatives narrowly focused on preserving ‘meaningful human control’ over laws therefore risk being bypassed by the technological state-of-the-art. This paper departs from the question: how can we formulate ‘innovation-proof governance’ approaches tha

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Abhilash Nagilla. "Robust Data Governance Framework for Artificial Intelligence Applications." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 2512–24. https://doi.org/10.32628/cseit251112267.

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This article comprehensively analyzes AI governance frameworks and their implementation across various sectors, particularly on emerging generative AI technologies where adoption has grown from 28% to 40% in the past year. The article examines the evolution from traditional data governance to AI-specific frameworks, highlighting the challenges and solutions in managing modern AI systems, including the unique complexities of governing generative AI models. Through extensive analysis of global implementations across 245 organizations in 57 countries, the article demonstrates that structured gove

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Nikulin, L. F., V. V. Velikorossov, S. A. Filin, and A. B. Lanchakov. "Artificial intelligence and the management transformation." National Interests: Priorities and Security 16, no. 4 (2020): 600–612. http://dx.doi.org/10.24891/ni.16.4.600.

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Subject. The article discusses how management transforms as artificial intelligence gets more important in governance, production and social life. Objectives. We identify and substantiate trends in management transformation as artificial intelligence evolves and gets more important in governance, production and social life. The article also provides our suggestions for management and training of managers dealing with artificial intelligence. Methods. The study employs methods of logic research, analysis and synthesis through the systems and creative approach, methodology of technological waves

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Nikulin, L. F., V. V. Velikorossov, S. A. Filin, and A. B. Lanchakov. "Artificial intelligence and transformation of management." Digest Finance 25, no. 2 (2020): 192–204. http://dx.doi.org/10.24891/df.25.2.192.

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Subject. The article discusses how management transforms as artificial intelligence gets more important in governance, production and social life. Objectives. We identify and substantiate trends in management transformation as artificial intelligence evolves and gets more important in governance, production and social life. The article also provides our suggestions for management and training of managers dealing with artificial intelligence. Methods. The study employs methods of logic research, analysis and synthesis through the systems and creative approach, methodology of technological waves

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Kalkan, Göktürk. "The Impact of Artificial Intelligence on Corporate Governance." Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438 18, no. 2 (2024): 17–25. http://dx.doi.org/10.17323/j.jcfr.2073-0438.18.2.2024.17-25.

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The advent of artificial intelligence (AI) marks a pivotal shift in the landscape of corporate governance, catalyzing a reevaluation of traditional frameworks and necessitating a forward-looking approach to decision-making, risk management, and ethical considerations. This study explores the multifaceted impact of AI on corporate governance, offering a nuanced analysis of how AI technologies are transforming the operational, strategic, and ethical dimensions of organizations. The research underscores the potential of AI to enhance decision-making processes, optimize operational efficiencies, a

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Burri, Thomas. "International Law and Artificial Intelligence." Volume 60 · 2017 60, no. 1 (2018): 91–108. http://dx.doi.org/10.3790/gyil.60.1.91.

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This article proposes five arguments about major aspects of artificial intelligence and their implications for international law. The aspects are: automation, personhood, weapons systems, control, and standardisation. The arguments in aggregate convey an idea of where international law needs to be adapted in order to cope with the artificial intelligence revolution under way. The arguments also show the inspiration that may be drawn from existing international law for the governance of artificial intelligence.

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Xue, Hao. "Legal Regulation of Artificial Intelligence Directors under the Background of the Revision of China's New Company Law." Lecture Notes in Education Psychology and Public Media 57, no. 1 (2024): None. http://dx.doi.org/10.54254/2753-7048/57/20240095.

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With the rapid development of technology, artificial intelligence technology has gradually been valued by the public and applied in various industries. At the level of business and corporate governance, there are also examples of AI directors participating in corporate governance internationally, providing us with space to explore the application of AI directors in Chinese corporate governance and decision-making. In December 2023, China promulgated a newly revised Company Law, and this article aims to explore how China responds to the issue of artificial intelligence directors in the context

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Wylde, Allison. "Governance for Artificial Intelligence (AI) and Interoperability: Questions of Trust." European Conference on Cyber Warfare and Security 23, no. 1 (2024): 648–53. http://dx.doi.org/10.34190/eccws.23.1.2513.

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Although the rapidly emerging capabilities of AI bring potential benefits that could be transformative for cyber security, significant threats have emerged that continue to grow in impact and scale. One proposed solution to addressing important risks in AI is the emergence of strategies for AI governance. Yet, as this conceptual early-stage research argues, what is crucial for individuals, businesses, public institutions, including the military, and for high-risk environments, are questions concerning trust in AI governance. Will governance of AI be trusted? As an example, during 2023, several

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Bullock, Justin B. "Artificial Intelligence, Discretion, and Bureaucracy." American Review of Public Administration 49, no. 7 (2019): 751–61. http://dx.doi.org/10.1177/0275074019856123.

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This essay highlights the increasing use of artificial intelligence (AI) in governance and society and explores the relationship between AI, discretion, and bureaucracy. AI is an advanced information communication technology tool (ICT) that changes both the nature of human discretion within a bureaucracy and the structure of bureaucracies. To better understand this relationship, AI, discretion, and bureaucracy are explored in some detail. It is argued that discretion and decision-making are strongly influenced by intelligence, and that improvements in intelligence, such as those that can be fo

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Shlapak, Alla, Artur Zhavoronok, Natalia Vdovenko, Oleksiy Bilousov, Dmytro Horban, and Denys Krylov. "impact of digital technologies and artificial intelligence on the management of socioeconomic processes in the context of sustainable development." Journal on Innovation and Sustainability RISUS 16, no. 2 (2025): 180–93. https://doi.org/10.23925/2179-3565.2025v16i2p180-193.

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The modern world is experiencing transition to the digital economy, where digital technologies and artificial intelligence play the key role in transformation of socio-economic processes. These technologies allow states optimizing resource management, automating production and administrative processes, increasing efficiency of urban governance, and ensuring inclusive sustainable development. In the article, the impact of digital technologies and artificial intelligence on formation of modern development strategies, in particular in the aspect of sustainable urban and economic governance is ana

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Sentinella, Richard, Maël Schnegg, and Klaus Möller. "A Management Control oriented Governance Framework for Artificial Intelligence." Die Unternehmung 77, no. 2 (2023): 162–84. http://dx.doi.org/10.5771/0042-059x-2023-2-162.

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In an age of increasing access to and power of artificial intelligence (AI), ethical concerns, such as fairness, transparency, and human well-being have come to the attention of regulators, standard setting bodies, and organizations alike. In order to build AI-based systems that comply with new rules, organizations will have to adopt systems of governance. This study develops, based on existing frameworks and a multiple case study, a governance framework specifically designed with these challenges in mind: The St. Gallen Governance Framework for Artificial Intelligence focuses on identifying s

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Schneider, Ingrid. "Democratic Governance of Digital Platforms and Artificial Intelligence?" JeDEM - eJournal of eDemocracy and Open Government 12, no. 1 (2020): 1–24. http://dx.doi.org/10.29379/jedem.v12i1.604.

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The article addresses the digital transformation and new power asymmetries and challenges to democracy by the world’s seven largest digital platforms. Four different governance models are examined: The Chinese authoritarian model, the libertarian US-model, the European regulatory model, and the Mexican hybrid model. The challenges of digital sovereignty and democratic governance of platform capitalism are explored.

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Shang, Xiaoting, Yaping He, and Huayong Niu. "Research Status and Challenges of Global Digital Governance Based on Knowledge Graph Analysis." Scientific and Social Research 5, no. 5 (2023): 6–15. http://dx.doi.org/10.26689/ssr.v5i5.4936.

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Digital governance is an important issue in the digital age, involving the interests of governments, enterprises, individuals, and other parties. It is a key factor in achieving modernization of national governance and has attracted widespread attention from countries around the world. In this study, a Knowledge Graph was plotted to combine the research framework of digital governance through a big data system. The basic characteristics of digital governance research, the forefront of global digital governance research, and the current governance challenges facing global digital governance are

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Ivaninskiy, Ilya, and Irina Ivashkovskaya. "What Impact does Artificial Intelligence have on Corporate Governance?" Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438 14, no. 4 (2020): 19–30. http://dx.doi.org/10.17323/j.jcfr.2073-0438.14.4.2020.19-30.

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In recent years, the topic of ‘digital transformation’ has become a primary focus in the areas of business and research. Among digital technologies, the area attracting the most investment is artificial intelligence (AI). Research shows that AI can benefit corporate governance in a variety of ways. In this article, we identify two academic streams on the topic and evaluate the existing literature. The first stream analyses AI-driven improvements in governance mechanisms such as boards of directors (BoD). The second stream explores the digital-driven organisational changes and broad gover

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Liu, Xiaoyu. "The Relationship between Information Technology and the Modernization of the National Governance System." Journal of Social Science and Humanities 6, no. 9 (2024): 11–14. http://dx.doi.org/10.53469/jssh.2024.6(09).03.

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Currently, a new wave of technological revolution and industrial transformation is emerging. New-generation information and communication technologies, such as big data and artificial intelligence, evolve rapidly and profoundly impact economic and social development. They provide strong momentum for the modernization of national governance systems and capabilities. As an emerging governance resource, big data holds vast potential for promoting the modernization of national governance systems. It can enhance the decision-making level of governance, awareness of data openness and sharing, capabi

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Trisnawati. "Artificial Intelligence Governance and Regulation: A Roadmap to Developing Legal Policies for Artificial Intelligence Deployment." Journal of Governance and Administrative Reform 5, no. 2 (2024): 185–94. https://doi.org/10.20473/jgar.v5i2.65194.

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Abstract The rapid advancement of artificial intelligence (AI) presents substantial challenges for global regulation and governance. This study explores various approaches adopted by countries and industries in formulating legal policies that promote the responsible and innovative use of AI. It examines regulatory frameworks in the European Union, the United States, and China, alongside the deployment of AI in the automotive and healthcare sectors. Empirical evidence suggests that stringent regulations, such as those in the European Union, enhance legal clarity and foster public trust but impo

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Son, Hyeonju. "Artificial Intelligence Governance and the Future of Democracy." Journal of Social Thoughts and Culture 22, no. 02 (2019): 305–49. http://dx.doi.org/10.17207/jstc.2019.06.22.2.10.

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