Legal Frontiers of Generative AI: Professor Robin Feldman on Creativity, Jobs, and Regulation
Professor Robin Feldman discusses legal challenges of generative AI, focusing on authorship, ownership, licensing, and regulation. These issues test current intellectual property laws.
Prof. Robin Feldman on Legal Challenges of Generative AI
Professor Robin Feldman, director of the Center for Innovation and UC Law SF’s AI Law & Innovation Institute, recently appeared on KCBS’ “Ask an Expert” podcast to discuss the evolving legal issues surrounding generative AI. As AI tools continue to advance, questions about their impact on lawyers, artists, and consumers are increasingly urgent.
Feldman highlights how generative AI is reshaping industries like Hollywood, affecting jobs and raising new questions about authorship and creativity. The legal disputes over AI-generated content are testing traditional frameworks around intellectual property, licensing, and compensation.
Key Legal Issues Around Generative AI
- Authorship and Ownership: Determining who owns AI-generated works remains unclear, challenging existing copyright laws.
- Licensing and Compensation: How creators and rights holders should be compensated when AI uses existing works as training data is a hot topic.
- Regulation: Policymakers and federal agencies are working to develop rules that balance innovation with protecting creators’ rights.
Feldman provides practical insights into how these issues might evolve and what legal professionals need to watch for. Her expertise supports lawmakers and agencies as they craft policies that impact the future of AI and creativity.
Listening to the full podcast episode offers a deeper understanding of the challenges and potential paths forward in AI law.
Additional Resources for Legal Professionals
For legal professionals interested in expanding their knowledge about AI and its legal implications, exploring specialized courses can be valuable. Platforms like Complete AI Training offer courses tailored to various roles, including legal experts seeking to understand AI policy and regulation.
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