This paper examines the evolving legal frameworks that aim to govern the ethical use and accountability of artificial intelligence (AI). With the rapid advancement of AI technologies, concerns over potential misuse, biases, and unintended consequences have heightened. The paper discusses the challenges of applying traditional legal constructs to AI systems, which often operate on principles of autonomy and machine learning that defy traditional notions of control and causation. It outlines key legal constructs such as liability, consent, privacy, and transparency, and explores how they are being adapted to address AI-specific issues. The paper further analyzes the varying approaches adopted by different jurisdictions in regulating AI, including the European Union's General Data Protection Regulation (GDPR), the United States' proposed AI Act, and China's AI Development Strategy. Finally, it assesses the effectiveness of these frameworks in ensuring ethical AI and proposes areas where further legal developments are needed.
Thomas, S. Legal Frameworks for AI Ethics and Accountability. Frontiers of Law & Policy Research, 2021, 3, 23. https://doi.org/10.69610/j.flpr.20211012
AMA Style
Thomas S. Legal Frameworks for AI Ethics and Accountability. Frontiers of Law & Policy Research; 2021, 3(2):23. https://doi.org/10.69610/j.flpr.20211012
Chicago/Turabian Style
Thomas, Sarah 2021. "Legal Frameworks for AI Ethics and Accountability" Frontiers of Law & Policy Research 3, no.2:23. https://doi.org/10.69610/j.flpr.20211012
APA style
Thomas, S. (2021). Legal Frameworks for AI Ethics and Accountability. Frontiers of Law & Policy Research, 3(2), 23. https://doi.org/10.69610/j.flpr.20211012
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