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Journal articles on the topic 'AI Regulation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

ZAVATIN (CHILEA), Iuliana, Ioana Maria POPESCU (IACOBESCU), Rodica LUPU (ȘTEFĂNESCU), and Andra-Elena ORLOSCHI. "AI REGULATION VS. AI STANDARDIZATION." Revista Economica 76, no. 3 (2024): 113–26. https://doi.org/10.56043/reveco-2024-0030.

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The key specificity of Artificial Intelligence today is that it is a fast-evolving field with yet unknown capabilities and potential. In technical research as well as in media there are new emerging AI-related topics almost every day. We hear a lot about risks of AI but also about so many useful AI applications that help people and companies benefit from better lives or enhanced results of their activity. Businesses developing AI solutions worldwide face significant challenges not only in designing processes but also in putting on the market safe, efficient and reliable technologies. Thus, the

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Chilea, Iuliana, Maria Popescu (Iacobescu) Ioana, Rodica Lupu, and Andra ORLOSCHI. "AI REGULATION VS. AI STANDARDIZATION." Revista Economica 76, no. 3 (2024): 113–26. https://doi.org/10.56043/reveco-2024-0030.

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The key specificity of Artificial Intelligence today is that it is a fast-evolving field with yet unknown capabilities and potential. In technical research as well as in media there are new emerging AI-related topics almost every day. We hear a lot about risks of AI but also about so many useful AI applications that help people and companies benefit from better lives or enhanced results of their activity. Businesses developing AI solutions worldwide face significant challenges not only in designing processes but also in putting on the market safe, efficient and reliable technologies. Thus, the

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Çami, Laura, and Av Xhon Skënderi. "The Impact of AI on Determining the Applicable Law in Cross-Border Disputes Under the Rome II Regulation." Global Journal of Politics and Law Research 11, no. 3 (2023): 1–10. http://dx.doi.org/10.37745/gjplr.2013/vol11n3110.

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The rapid advancement of artificial intelligence (AI) has significantly impacted choice of legislation issues in international litigation under the Rome II Regulation. This research paper aims to analyse the impact of AI on the application of the Rome II Regulation and identify the challenges it poses to the current legal framework. The paper will first examine the fundamental principles of the Rome II Regulation and its application to cross-border disputes. It will then explore the role of AI in determining the applicable law, focusing on the challenges faced by courts in applying the Regulat

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Brown, Rafael, Jon Truby, and Imad Antoine Ibrahim. "Mending Lacunas in the EU’s GDPR and Proposed Artificial Intelligence Regulation." European Studies 9, no. 1 (2022): 61–90. http://dx.doi.org/10.2478/eustu-2022-0003.

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Summary The European Union (EU) is leading in the regulation of data privacy and artificial intelligence through the General Data Protection Regulation (GDPR), the proposed European Commission (EC) regulation, and the proposed European Parliament (EP) regulations concerning Artificial Intelligence (AI). The EU also regulates AI through ethical aspects and Intellectual Property Rights as well as the Council of Europe’s conclusions concerning the use of sandboxes regulations and experimentation clauses. This article highlights the EU’s missed opportunities to create synergies between the GDPR an

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Saputra, Beny, Hartati Hartati, and Olivér Bene. "Hungary’s AI Strategy: Lessons for Indonesia’s AI Legal Framework Enhancement." Jambe Law Journal 7, no. 1 (2024): 25–58. http://dx.doi.org/10.22437/home.v7i1.325.

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This study analyses Hungary's approach to regulating artificial intelligence (AI) by analyzing their AI Strategy (2020-2030) and provides insights for improving Indonesia's legal framework. In Hungary, although there is no dedicated legislation for artificial intelligence (AI), the country places a high importance on adhering to current regulations to regulate AI technologies. This paper does a comparative analysis to evaluate the influence of Hungary's approach on the advancement of artificial intelligence (AI), the methods used to enforce regulations, the ethical principles followed, the saf

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Yoo, Sung Hee. "Bioethical Analysis of the EU AI Act : Implications and Challenges for AI Regulation in South Korea." Catholic Institute of Bioethics 15, no. 1 (2025): 71–111. https://doi.org/10.35230/pb.2025.15.1.71.

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This study analyzes the impact of artificial intelligence (AI) advancements on bioethical principles, particularly through a comparative examination of the EU AI Act and South Korea's AI regulations. While AI technology has driven significant innovation across various sectors such as healthcare, law, and public policy, it has also introduced numerous ethical challenges, including data bias, lack of explainability, and unclear legal accountability. These issues pose potential risks to fundamental human rights, necessitating a regulatory approach grounded in bioethical principles. The EU AI Act

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Kuteynikov, Dmitry, Osman Izhaev, Valerian Lebedev, and Sergey Zenin. "Legal regulation of artificial intelligence and robotic systems: review of key approaches." Cuestiones Políticas 40, no. 72 (2022): 690–703. http://dx.doi.org/10.46398/cuestpol.4072.40.

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The aim of the article is to study various approaches to legal regulation of AI artificial intelligence and robotic systems in the European Union, USA, and China. These regions are the world's largest centers of technological development and therefore each of them has perfected a unique approach to legal regulation on the limits, scopes, and proper uses of AI. His achievements are widely used by other countries. The authors used the methods of analysis of scientific documents, laws, and legal regulations. In addition, this article reviews the basic conceptual approaches available in the world

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Katulić, Tihomir. "Towards the Trustworthy AI." Medijska istraživanja 26, no. 2 (2021): 9–28. http://dx.doi.org/10.22572/mi.26.2.1.

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After decades of theoretical deliberations, the rapid development of advanced information technology has allowed machine learning as a first practical step towards artificial intelligence to enter widespread commercial and government use. The transition into a post-industrial, information society has revealed the value of data as an important resource whose processing is the basis of the new innovative information society services. The European Union has enacted several important regulations and directives in the recent past to protect the recognized fundamental rights of individuals and to re

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Liu, Shaoshan. "Navigating AI Regulation in Africa: Challenges and Considerations." ACM SIGCAS Computers and Society 52, no. 3 (2023): 8. http://dx.doi.org/10.1145/3656033.3656035.

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While most discussions about Artificial Intelligence (AI) regulations focus on advanced economies, such as OECD countries [1,2], this series of articles systematically examines the AI regulation challenges in emerging economies of the Global South. In this piece, we navigate AI regulation challenges and considerations in Africa [3].

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Abbott, Ryan, and Brinson S. Elliott. "Putting the Artificial Intelligence in Alternative Dispute Resolution." Amicus Curiae 4, no. 3 (2023): 685–706. http://dx.doi.org/10.14296/ac.v4i3.5627.

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This article argues that the evolving regulatory and governance environment for artificial intelligence (AI) will significantly impact alternative dispute resolution (ADR). Very recently, AI regulation has emerged as a pressing international policy issue, with jurisdictions engaging in a sort of regulatory arms race. In the same way that existing ADR regulations impact the use of AI in ADR, so too will new AI regulations impact ADR, among other reasons, because ADR is already utilizing AI and will increasingly utilize AI in the future. Appropriate AI regulations should thus benefit ADR, as the

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Ibragimov, R. S., H. D. Suragina, and D. Yu Churilova. "ETHICS AND AI REGULATION." Zakon 16, no. 8 (2021): 85–95. http://dx.doi.org/10.37239/0869-4400-2021-16-8-85-95.

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Hacker, Philipp. "Article: Sustainable AI Regulation." Common Market Law Review 61, Issue 2 (2024): 345–86. http://dx.doi.org/10.54648/cola2024025.

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This article addresses a critical gap in the current AI regulatory discourse by focusing on the environmental sustainability of AI and technology more broadly, a topic often overlooked both in environmental law and in technology regulation, such as the General Data Protection Regulation (GDPR) or the EU AI Act. Recognizing AI’s significant impact on climate change and its substantial water consumption, especially in large generative models like ChatGPT, GPT-4, or Gemini, the article aims to integrate sustainability considerations into technology regulation, in three steps. First, while current

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Pratama, Andistya, Dwi Ratna Indri Hapsari, and Listiyani Wulandari. "Bridging regulation and reality: comparative study of Artificial Intelligence regulation in the financial sectors." Legality : Jurnal Ilmiah Hukum 33, no. 2 (2025): 307–33. https://doi.org/10.22219/ljih.v33i2.38908.

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This study compares AI regulations in Indonesia and Singapore's banking and fintech sectors, focusing on the gap between regulation and real-world conditions. Artificial Intelligence (AI) has become essential in the banking and fintech sectors, enhancing operational efficiency, detecting fraud, and performing risk analysis. However, the adoption of AI also poses challenges, particularly concerning regulation and consumer protection. The research employs normative or doctrinal methods with a comparative law approach. It evaluates various regulations issued by the Financial Services Authority (O

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Matyuk, Yulia S. "Legal Regulation of Artificial Intelligence: Foreign Practices." Russian Journal of Legal Studies (Moscow) 9, no. 2 (2022): 107–15. http://dx.doi.org/10.17816/rjls91009.

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The rapid development and increasing use of artificial intelligence (AI) technologies bring to the fore issues related to the legal regulation of these technologies. Currently, more than 80 countries have developed conceptual and policy documents and doctrinal acts that define the framework, principles of regulation, and key guidelines for the development of digital technologies. In this context, one of the key objectives of this study is to make a comparative analysis of the international experience in the use and legal regulation of digital technologies, and in particular, AI in digital publ

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Durga, Chavali*1 Biju Baburajan2 Ashokkumar Gurusamy3 Vinod Kumar Dhiman4 Siri Chandana Katari5. "Regulating Artificial Intelligence: Developments And Challenges." International Journal in Pharmaceutical Sciences 2, no. 3 (2024): 1250–61. https://doi.org/10.5281/zenodo.10898480.

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The past decade has witnessed an evolutionary process that has revolutionized the industry and social norms for Artificial Intelligence (AI). The evolution, nonetheless, has led to a complex web of ethical, legal, and societal issues that necessitate the creation of a robust regulatory system. This article takes a critical look at the signs of progress, issues, and regulations of AI over the last decade. The narrative is built through a multifaceted journey, giving an urgent call to regulations amid the AI revolution. This study highlights specific areas that demand oversight and embodies a gl

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Mehendale, Pushkar. "AI in Autonomous Vehicles: Safety and Regulation." International Journal of Science and Research (IJSR) 9, no. 7 (2020): 2028–30. http://dx.doi.org/10.21275/sr24810083031.

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Hossain, Mohammad Belayet, Mahadi Hasan Miraz, and Abba Ya'u. "FROM LEGALITY TO RESPONSIBILITY: CHARTING THE COURSE FOR AI REGULATION IN MALAYSIA." IIUM Law Journal 32, no. 1 (2024): 397–429. http://dx.doi.org/10.31436/iiumlj.v32i1.927.

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As Artificial Intelligence (AI) technologies continue to evolve rapidly, Malaysia faces the imperative of establishing a robust regulatory framework to address legal complexities and ensure responsible AI deployment. This paper examines the current landscape of AI legality in Malaysia, analysing existing laws and regulations governing AI applications across various sectors. It identifies key legal challenges, including issues related to data privacy, algorithmic transparency, liability, and ethical considerations. Emphasising the transition from mere legality to ethical responsibility, the pap

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Stepanenko, Oksana, Аndriy Stepanenko, Vitalii Boichenko, and Oleksandra Pavlova. "Establishment of international legal regulation on the criminal-legal combat against domestic violence." Revista Amazonia Investiga 12, no. 63 (2023): 198–205. http://dx.doi.org/10.34069/ai/2023.63.03.18.

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The issue of combating domestic violence is one of the most important in today's conditions, both in Ukraine and throughout the world, because violence (including domestic violence) is recognized as violating human rights. In order to improve the situation and implement mechanisms for combating domestic violence at the international level, a system of the international legal protection of the rights of victims of domestic violence and combating domestic violence has been created. The purpose of the work is to assess and study the provisions of international legal acts aimed at combating domest

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Donnikova, Irina, and Andrii Kovban. "Moral-legal self-regulation of freedom of conscience: culturological aspect." Revista Amazonia Investiga 9, no. 32 (2020): 28–35. http://dx.doi.org/10.34069/ai/2020.32.08.3.

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The purpose of the article is to analyze the possibility of combining legal and moral regulations in the implementation of the human right to freedom of conscience. The methodological basis of the study reveals the interdisciplinary of the problem. Culturological analysis of freedom of conscience is performed by using philosophical-anthropological and phenomenological approaches to identify the specifics of legal culture, the role of conscience in the moral and legal self-regulation of human. Systemic method is used for analysis freedom of conscience as a complex holistic phenomenon; historica

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Gaho, Festina. "Understanding the Regulation of the Use of Artificial Intelligence Under International Law." Verdict: Journal of Law Science 3, no. 2 (2024): 102–10. https://doi.org/10.59011/vjlaws.3.2.2024.102-110.

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The development of artificial intelligence (AI) has revolutionized various aspects of human life, from the economic sector to the government system. While it brings significant benefits, AI also poses legal and ethical risks that have not been fully addressed in the current international legal framework. This research aims to analyze the regulation of the use of AI from the perspective of international law and identify challenges and opportunities in shaping a global legal framework that is responsive to the development of AI. This study uses a normative juridical method with a conceptual appr

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Basu, Nibedita, and Rhishikesh Dave. "Comparative Analysis of Laws in AI." Journal of Lifestyle and SDGs Review 5, no. 3 (2025): e05575. https://doi.org/10.47172/2965-730x.sdgsreview.v5.n03.pe05575.

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Objectives: This article aims to examine the global efforts in regulating artificial intelligence (AI), highlighting the diverse approaches taken by different countries. It focuses on key regulatory parameters such as ethical concerns, privacy, security, and economic impact. Additionally, the study explores the legislative gap in India, where policy frameworks exist but no specific AI law has been enacted. Methods: The research adopts a qualitative approach, utilizing comparative analysis to assess AI regulations across various countries. The study evaluates how the European Union, the United

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Lupo, Giampiero. "Risky Artificial Intelligence: The Role of Incidents in the Path to AI Regulation." Law, Technology and Humans 5, no. 1 (2023): 133–52. http://dx.doi.org/10.5204/lthj.2682.

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The history of high-tech regulation is a path studded with incidents. Each adverse event allowed the gathering of more information on high technologies and their impacts on people, infrastructure, and other technologies, posing the bases for their regulation. With the increasing diffusion of artificial intelligence (AI) use, it is plausible that this connection between incidents and high-tech regulation will be confirmed for this technology as well. This study focuses on the role of AI incidents and an efficient strategy of incident data collection and analysis to improve our knowledge of the

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Tarasyuk, Volodymyr. "LEGAL REGULATION OF THE USE OF ARTIFICIAL INTELLIGENCE IN UKRAINE: PROBLEMS AND PROSPECTS." Politology bulletin, no. 93 (2024): 94–113. https://doi.org/10.17721/2415-881x.2024.93.94-113.

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The article examines current issues and prospects of legal regulation of artificial intelligence (AI) in Ukraine. The author analyses the key areas of AI implementation, including education, countering disinformation, legal practice, lawmaking and the electoral process. It is noted that legal regulation in this area should focus on defining the criteria for authorship in the use of AI; developing mechanisms for detecting and counteracting AI-generated fake news; establishing liability for the dissemination of disinformation using AI; regulating the use of AI for automatic fact-checking; and cr

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Siregar, Namira Romaito, Saidin Saidin, Jelly Leviza, and Syarifah Lisa Andriati. "Urgensi Regulasi atas Produk Artificial Intelligence Sebagai Upaya Perlindungan Hukum di Indonesia." JUNCTO: Jurnal Ilmiah Hukum 6, no. 2 (2024): 244–52. https://doi.org/10.31289/juncto.v6i2.3334.

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This study aims to analyze the Regulation of Legal Protection on the Utilization of Artificial Intelligence Works in the Empowerment of Intellectual Property Rights in Indonesia and analyze the Urgency of Regulation on Patent Law Problems in Indonesia as the Utilization of Artificial Intelligence Works in Comparison with Japan. This study uses normative legal methods with a comparative approach to analyze AI patent protection, utilizes literature studies, and aims to provide recommendations for regulatory development in Indonesia. The results of the study show that legal protection for AI work

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Pokataev, Pavlo, Oleh Bodnarchuk, Tetiana Hryshyna, Vladyslav Korolkov, and Yurii Demianchuk. "Advertising of medicines in Ukraine: An ethical and legal view." Revista Amazonia Investiga 12, no. 64 (2023): 348–60. http://dx.doi.org/10.34069/ai/2023.64.04.37.

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The modern course of Ukraine towards economic and political and legal rapprochement with European states involves the adoption of uniform rules in the field of healthcare. The objective of this article is to examine the ethical and legal aspects of advertising medicines in the context of Ukraine's alignment with European states and the adoption of uniform healthcare rules. The article employs a dialectical method to explore the correlation between ethical and legal components in medicine advertising. By analyzing domestic normative and legislative acts, there was establish methodological featu

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Yang, Tianfang. "Legal Regulation of Generative Artificial Intelligence in China." Law & Digital Technologies 4, no. 1 (2024): 25. http://dx.doi.org/10.18254/s278229070031786-0.

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The rapid development of generative artificial intelligence (AI), exemplified by technologies like ChatGPT, has prompted significant regulatory responses in China. This paper explores the legal framework established by China&apos;s Interim Measures for the Management of Generative Artificial Intelligence Services, highlighting its regulatory mechanisms and compliance obligations for AI service providers. The measures aim to address various risks associated with generative AI, such as data security, content management, and user protection, by implementing a dual registration system for algo

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Dumouchel, Paul. "AI and Regulations." AI 4, no. 4 (2023): 1023–35. http://dx.doi.org/10.3390/ai4040052.

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This essay argues that the popular misrepresentation of the nature of AI has important consequences concerning how we view the need for regulations. Considering AI as something that exists in itself, rather than as a set of cognitive technologies whose characteristics—physical, cognitive, and systemic—are quite different from ours (and that, at times, differ widely among the technologies) leads to inefficient approaches to regulation. This paper aims at helping the practitioners of responsible AI to address the way in which the technical aspects of the tools they are developing and promoting d

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Jelena Vujicic. "Algorithmic accountability and ethical oversight: legal challenges in transatlantic AI regulation." International Journal of Science and Research Archive 13, no. 2 (2024): 4409–19. https://doi.org/10.30574/ijsra.2024.13.2.0722.

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This paper examines the legal systems governing AI in the European Union (EU) and the United States (US) and the conditions associated with regulating the growing AI advancement. In comparing the GDPR of the European Union and the proposed AI regulation across industries such as healthcare, transportation, and the military in the United States, similarities and dissimilarities emerge in the two areas‘approaches to regulating AI. The current frameworks also lack sufficient provisions regarding ethics and bias, particularly in algorithms and general transparency. This also stresses the importanc

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Krarup, Troels, and Maja Horst. "European artificial intelligence policy as digital single market making." Big Data & Society 10, no. 1 (2023): 205395172311538. http://dx.doi.org/10.1177/20539517231153811.

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Rapid innovation in digital services relying on artificial intelligence (AI) challenges existing regulations across a wide array of policy fields. The European Union (EU) has pursued a position as global leader on ethical AI regulation in explicit contrast to US laissez-faire and Chinese state surveillance approaches. This article asks how the seemingly heterogeneous approaches of market making and ethical AI are woven together at a deeper level in EU regulation. Combining quantitative analysis of all official EU documents on AI with in-depth reading of key reports, communications, and legisla

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Lee, Sang-Woo. "A Study on China’s Generative AI Regulations." LAW RESEARCH INSTITUTE CHUNGBUK NATIONAL UNIVERSITY 14, no. 1 (2023): 115–39. http://dx.doi.org/10.34267/cbstl.2023.14.1.115.

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CAC on April 11 issued draft Measures to govern generative AI service provision in China. The draft Measures related to the regulation of generative AI. However, in terms of technical features(①data; ②algorithm; ③AIGC; ④forming public opinion), there are current laws and regulations(①Cybersecurity Law·Data Security Law·PIPL; ②Algorithm Regulation; ③Deepfake Regulation; ④Public Opinion Regulation). As abovementioned, China had a way to regulate generative. Nevertheless, the reason for rushing to enact the Measures is that generative AI has caused great social repercussions. China stipulates the

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Gyulai, Attila, and Anna Ujlaki. "The political AI." Információs Társadalom 21, no. 2 (2021): 29. http://dx.doi.org/10.22503/inftars.xxi.2021.2.3.

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This article adopts a political theoretical perspective to address the problem of AI regulation. By disregarding the political problem of enforceability, it is argued that the applied ethics approach dominant in the discussions on AI regulation is incomplete. Applying realist political theory, the article demonstrates how prescriptive accounts of the development, use, and functioning of AI are necessarily political. First, the political nature of the problem is investigated by focusing on the use of AI in politics on the one hand and the political nature of the AI regulation problem on the oth

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Hargrove, GM, A. Junco, and NC Wong. "Hormonal regulation of apolipoprotein AI." Journal of Molecular Endocrinology 22, no. 2 (1999): 103–11. http://dx.doi.org/10.1677/jme.0.0220103.

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Apolipoprotein AI (apo AI) is the major protein component of the serum high-density lipoprotein (HDL) particles. The antiatherogenic properties of apo AI alone or as part of HDL and their inverse correlation with the incidence of coronary heart disease underlie the clinical importance of the protein. A detailed understanding of the mechanisms by which apo AI is regulated will help us develop new and better ways to manipulate expression of the protein. Although there are many factors that influence apo AI expression, endogenous hormones are attractive because simple changes in abundance of thes

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Caprau, Alexandru. "The need of Regulation: AI." ELSA Austria Law Review 6, no. 1 (2021): 10. http://dx.doi.org/10.33196/ealr202101001001.

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Simó, Ferenc Zoltán. "Preliminary Observations on AI Regulation." Mesterséges intelligencia 3, no. 1 (2021): 33–59. http://dx.doi.org/10.35406/mi.2021.1.33.

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Haataja, Meeri, and Joanna J. Bryson. "The European Parliament’s AI Regulation." Amicus Curiae 4, no. 3 (2023): 707–18. http://dx.doi.org/10.14296/ac.v4i3.5612.

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The European Union (EU) has been leading the world with its influential digital regulation. However, the EU’s legislative process is sufficiently complex and careful that some national legislation clearly influenced by the EU’s AI Regulation is already in place in other countries, before the law has even been finalized in the EU. Meanwhile, other states and regions are just beginning to develop AI policy. For both the EU and such others, we here describe the outcomes of the first round of legislative action by one of the EU’s two legislative bodies, the European Parliament, in terms of modifyi

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Stark, Laura. "Medicine’s Lessons for AI Regulation." New England Journal of Medicine 389, no. 24 (2023): 2213–15. http://dx.doi.org/10.1056/nejmp2309872.

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Alalawi, Zainab, Paolo Bova, Theodor Cimpeanu, et al. "Trust AI regulation? Discerning users are vital to build trust and effective AI regulation." Applied Mathematics and Computation 508 (January 2026): 129627. https://doi.org/10.1016/j.amc.2025.129627.

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Lee, Joonbok. "A Legal Study on Practical Harmony of Artificial Intelligence(AI) Activation and Regulation in Terms of Public Safety." Korean Association for Terrorism Studies 16, no. 2 (2023): 121–40. http://dx.doi.org/10.46350/kats.2023.16.2.121.

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We discussed legal measures that can harmoniously implement regulations and development for the establishment of artificial intelligence (AI). In order to proceed systematically, the reality of AI was identified, and the limits of regulation and the rational direction of regulation were summarized for the development or promotion of the field. As mentioned many times before, AI has already appeared for a long time and is a center of attention in various fields. However, the industry is still in its infancy, and there is a long way to go. In addition, the level of related legislation has

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Popov, Viktor, Sofiia Popova, Ihor Zlakoman, Serhii Kolomiiets, and Nataliia Petrova. "Intellectual Property Law in the Age of Artificial Intelligence: Legal Challenges and Regulatory Perspectives." International Journal of Law and Society (IJLS) 4, no. 1 (2025): 165–79. https://doi.org/10.59683/ijls.v4i1.133.

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The study's relevance is stipulated by the rapid development of artificial intelligence (AI) and the need to adapt legal regulation in intellectual property to modern technological challenges. The absence of a unified approach to determining authorship and protecting rights to objects created by AI creates legal uncertainty and hinders innovation development. The study aims to analyse the existing approaches to regulating intellectual property rights created by AI and develop recommendations for improving the legislation. The object of the study is the legal acts and doctrinal approaches to th

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Dai, Shuting, and Lilei Song. "Balancing Security and Regulation." Security science journal 5, no. 3 (2024): 7–26. https://doi.org/10.37458/ssj.5.3.1.

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Artificial Intelligence (AI) has become an integral component within a wide array of weapon systems and critical infrastructure, serving as a fundamental framework for seamless integration with diverse technologies. However, the convergence of technology, military apparatus, and operational efficiency has facilitated the gradual securitization of technology regulation. This trend underscores the increasing portrayal of technology development as a matter of security relevance over recent decades. Facing a complex geopolitical landscape, the European Union's discussions on “strategic autonomy” a

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Belousov, Aleksandr Aleksandrovich. "Regulation of generative artificial intelligence in foreign jurisdictions and Russia: a comparative legal analysis." Юридические исследования, no. 7 (July 2025): 13–28. https://doi.org/10.25136/2409-7136.2025.7.75067.

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This article examines the experience of Russia, the CIS, China and the EU in regulating the use of generative AI. This study covers a practical block of issues in terms of mandatory requirements for generative AI service providers, the main forms of liability for violating national and supranational legislation. In addition, the difference in the definition of generative AI and the main block of doctrinal studies in the presented jurisdictions are examined. Based on the conducted study, proposals are formulated for the subsequent improvement of domestic regulation of the use of generative AI m

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Davidson, Tom. "The Danger of Runaway AI." Journal of Democracy 34, no. 4 (2023): 132–40. http://dx.doi.org/10.1353/jod.2023.a907694.

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Abstract: We must reduce harms from current AI systems while also looking ahead to harms that may occur soon. Experts worry that runaway AI could cause extreme harm in the next five to twenty years. The risk is that we develop superhuman AI systems that surpass humans in domains like persuasion, strategy, hacking, and research and development; that we design these systems to pursue goals autonomously; that we accidentally give them unintended goals; and that humans lose control of these superhuman systems. Without regulation, the actions of a small number of elite AI developers could pose mass

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Sazhinov, A. A. "Fragmentation of Artificial intelligence international regulation: challenges." Journal of Digital Economy Research 1, no. 1 (2023): 90–108. http://dx.doi.org/10.24833/14511791-2023-1-90-108.

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The issue of AI development and application is high on the international agenda now. One of the reasons is its excessive popularity among the public. Numerous international actors are now developing AI regulations. It is both universal and specialized international organisations with global and regional reach. Informal international fora are also active in this area. This process is a complex one and incorporate different factors which are both of objective and subjective character. In effect, AI regulation all the more often becomes a political tool for promoting economic interests of nationa

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Durrani, Matin. "AI questions." Physics World 36, no. 7 (2023): 15. http://dx.doi.org/10.1088/2058-7058/36/07/18.

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Beardwood, John. "The Canadian AIDA and the EU AI Act: Will Sanity Prevail as they more closely align? – Part 1." Computer Law Review International 25, no. 4 (2024): 97–104. http://dx.doi.org/10.9785/cri-2024-250401.

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Abstract On June 16, 2022, the Canadian government introduced Bill C- 27, sponsored by the Minister of Innovation, Science and Industry, to update Canada’s federal privacy legal landscape. As earthshaking as that legislation was to the privacy regime in Canada, the impact of Bill C-27 was not limited to privacy regulation. Notably, Bill C-27 also introduced the Artificial Intelligence and Data Act (“AIDA”), which aims to introduce regulations in Canada regarding the design, development, and use of artificial intelligence (“AI”) systems. As we have previously written, while the AIDA is Canada’s

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Dunayevich, Enzo, and Hajime Akiyama. "Ideal Approaches to AI Regulation in LATAM Countries: Promoting Technological Advancement and Human Rights Protections." F1000Research 14 (March 17, 2025): 305. https://doi.org/10.12688/f1000research.160332.1.

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Background Today’s approaches to regulating AI diverge from countries and regions. For instance, Japan’s framework emphasizes agile governance, relying on soft law, corporate cooperation, and a deregulatory approach. In contrast, the EU adopts a hard law model with a risk-based approach centered on protecting human rights. Discussing the benefits and downsides of each will be deemed valuable for LATAM’s journey to regulating AI. Methods The authors identified guidelines and laws from Japan and the European Union by searching official websites and Google Scholar through 2023 and 2024. We divide

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DR. NIDHI SHARMA. "ARTIFICIAL INTELLIGENCE: LEGAL IMPLICATIONS AND CHALLENGES." Knowledgeable Research: A Multidisciplinary Journal 2, no. 11 (2024): 13–32. http://dx.doi.org/10.57067/220k4298.

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Artificial intelligence (AI) technologies are rapidly transforming various aspects of society, from healthcare and finance to transportation and education. While AI offers tremendous potential for innovation and efficiency, its widespread adoption raises significant legal implications and challenges. This paper examines the legal landscape surrounding AI, focusing on key areas such as privacy, liability, intellectual property, and employment law. One of the primary concerns with AI is the privacy implications stemming from the collection, storage, and analysis of vast amounts of data. Regulati

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Fitriyah, Aidatul, and Daryna Dzemish Abdulovna. "EU’s AI Regulation Approaches and Their Implication for Human Rights." Media Iuris 7, no. 3 (2024): 417–38. http://dx.doi.org/10.20473/mi.v7i3.62050.

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The rapid development of Artificial Intelligence (AI) technologies presents significant opportunities, but also introduces critical challenges, particularly concerning the protection of human rights. In response, the European Union (EU) has developed comprehensive AI regulations, most notably the AI Act, positioning itself as a leader in global AI governance. However, questions remain regarding the effectiveness of these laws in safeguarding key human rights such as privacy, equality, autonomy, and freedom. This study aims to assess the sufficiency of the EU’s current AI regulations in protect

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Koshechkin, K. A. "Regulation of artificial intelligence in medicine." Patient-Oriented Medicine and Pharmacy 1, no. 1 (2023): 32–40. http://dx.doi.org/10.37489/2949-1924-0005.

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A study on the regulation of artificial intelligence (AI) in healthcare, includes a brief overview of the current state of use of AI in healthcare and its potential benefits and risks. The article summarizes the current regulations that exist for AI in healthcare, including any relevant laws, guidelines, and best practices, including information on regulatory bodies such as the FDA and HIPAA. The ethical considerations arising from the use of AI in healthcare, such as patient confidentiality and data security, bias in algorithms, and transparency in decision making, are given. Examples of AI i

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Smith, Adam Leon. "Insight: AI." ITNOW 63, no. 4 (2021): 36. http://dx.doi.org/10.1093/itnow/bwab115.

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