Navigating the Risks of Generative AI: A Comparative Analysis of International Regulatory Approaches

The rise of Generative Artificial Intelligence (Generative AI) offers transformative potential for productivity and creativity but also introduces significant risks that challenge current AI regulation frameworks. This study systematically investigates these risks, including security vulnerabilities, privacy concerns, copyright infringements, and algorithmic biases. It critically assesses the effectiveness of existing regulatory approaches in managing these issues. Through a comparative analysis of regulatory practices in the European Union, the United States, the UK, and China, the study reveals diverse strategies ranging from stringent risk-based models to flexible market-driven approaches. The findings underscore the need for a dynamic and adaptable regulatory framework that can effectively balance the rapid advancement of Generative AI with the imperative to protect public interest and promote innovation. This paper concludes by advocating for the development of adapting regulatory approaches to address the evolving challenges posed by Generative AI.

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Publication Details

Journal
Problemy Ekorozwoju
Published
2025-07-01
DOI
https://doi.org/10.35784/preko.7444
Citations
1
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
2.48
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article

Navigating the Risks of Generative AI: A Comparative Analysis of International Regulatory Approaches

Jian Guo Liu, Xinbo Huang
1 citations
Problemy Ekorozwoju
Law, AI, and Intellectual Property
2.48
article

Navigating the Risks of Generative AI: A Comparative Analysis of International Regulatory Approaches

Jian Guo Liu, Xinbo Huang
article en
1 citations

Abstract

The rise of Generative Artificial Intelligence (Generative AI) offers transformative potential for productivity and creativity but also introduces significant risks that challenge current AI regulation frameworks. This study systematically investigates these risks, including security vulnerabilities, privacy concerns, copyright infringements, and algorithmic biases. It critically assesses the effectiveness of existing regulatory approaches in managing these issues. Through a comparative analysis of regulatory practices in the European Union, the United States, the UK, and China, the study reveals diverse strategies ranging from stringent risk-based models to flexible market-driven approaches. The findings underscore the need for a dynamic and adaptable regulatory framework that can effectively balance the rapid advancement of Generative AI with the imperative to protect public interest and promote innovation. This paper concludes by advocating for the development of adapting regulatory approaches to address the evolving challenges posed by Generative AI.

Problemy EkorozwojuVol. 20(2)
Jiangxi University of Water Resources and Electric Power (CN), China University of Political Science and Law (CN), Nanchang Institute of Science & Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Law, AI, and Intellectual Property
2.48
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Navigating the Risks of Generative AI: A Comparative Analysis of International Regulatory Approaches — Jian Guo Liu, Xinbo Huang · Problemy Ekorozwoju (2025) | TGRS Research Map | TGRS