Regulatory Challenges of AI Governance in the Era of ChatGPT
Samenvatting
Through 11 meticulously researched chapters, the book examines AI’s historical development, industry applications, socio-ethical concerns, and legal challenges.
Advocating for a human-centric, risk-based regulatory approach, emphasising transparency, public participation, and ongoing monitoring, the book covers the following aspects of AI and its governance:
- a comprehensive overview of the history and mechanics of AI;
- widespread public misconceptions surrounding ChatGPT;
- ethical considerations (e.g., misinformation, accountability, and transparency);
- societal implications (e.g., job displacement, critical thinking, and malicious use);
- privacy concerns;
- intellectual property challenges;
- healthcare application dilemmas;
- interplay between LLMs and finance, and
- cross-border regulatory challenges.
Throughout, the author identifies significant gaps in existing legal frameworks and explores potential policy directions to bridge these gaps.
The book offers invaluable insights and recommendations for policymakers, legal experts, academics, students, technologists, and anyone interested in AI governance. It underscores the need for a collaborative effort and meaningful dialogue among industry leaders, academia, and civil society globally to promote responsible and ethical development and use of AI for the benefit of humanity.
Specificaties
Inhoudsopgave
List of Abbreviations
List of Figures
List of Tables
Foreword
Overview
Acknowledgements
CHAPTER 1
AI Governance in the ChatGPT Era
CHAPTER 2
Misconceptions about LLMs like ChatGPT
CHAPTER 3
Transformative Impacts of LLMs like ChatGPT
CHAPTER 4
Societal and Ethical Implications of ChatGPT
CHAPTER 5
Data Privacy Challenges in LLMs like ChatGPT
CHAPTER 6
LLMs like ChatGPT and IP
CHAPTER 7
ChatGPT and Healthcare Systems
CHAPTER 8
LLMs like ChatGPT and Financial Sector
CHAPTER 9
Legal and Regulatory Challenges in AI Governance
CHAPTER 10
Cross-Border Regulatory Challenges in AI Governance
CHAPTER 11
Future Policy Directions for AI Governance
Table of Cases
Index
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