Regulatory and Policy Considerations for Large Language Models: Frameworks, Implications, and Future Directions

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Author(s): Akshat Gaurav (Ronin Institute, USA), Brij B. Gupta (Asia University, Taiwan), Jinsong Wu (University of Chile, Chile)and Priyanka Chaurasia (University of Ulster, UK)
Copyright: 2024
Pages: 27
Source title: Challenges in Large Language Model Development and AI Ethics
Source Author(s)/Editor(s): Brij Gupta (Asia University, Taichung City, Taiwan)
DOI: 10.4018/979-8-3693-3860-5.ch007

Keywords: Artificial Intelligence / Data Modeling Languages / Engineering Science Reference / Science & Engineering

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Abstract

This chapter provides insights into the complex domain of regulatory and policy issues in artificial intelligence. It covers critical global aspects of AI regulation before diving into the thin line of innovation and ethics. First, the chapter reviews the most important international and global players and how they frame the regulatory context. Sources also present comparisons of the relevant regulatory authorities and their empowerment in the European Union, United States, and China. Further, the chapter discusses the critical aspect of the balance between innovation and ethics. The last aspect offers insights into different ethical frameworks and the challenges of responsible development of AI. Finally, the chapter outlines the most important case studies of national and international AI hearings and policies.

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Regulatory and Policy Considerations for Large Language Models: Frameworks, Implications, and Future Directions

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