Artificial intelligence (AI) applications are inherently data-intensive, requiring substantial information as input while sometimes producing outputs with significant privacy implications. The widespread adoption of AI tools prompts critical questions about the use of private data during the development and deployment of these transformative technologies. Additionally, new challenges arise at the intersection of intellectual property and privacy, as both fields are evolving rapidly in response to technological and market innovations in generative AI.
Modern AI systems introduce complex questions that may fall outside the scope of existing self-regulatory frameworks or traditional statutory laws. In the U.S., states are actively innovating and intervening to address digital privacy concerns. In this conversation, Microsoft Chief Privacy Officer Julie Brill and Harvard Law School Visiting Professor Aileen Nielsen explore the current landscape of privacy regulation in the United States and worldwide. They also discuss emerging legislative and regulatory trends as policymakers grapple with the governance of AI.
Modern AI systems introduce complex questions that may fall outside the scope of existing self-regulatory frameworks or traditional statutory laws. In the U.S., states are actively innovating and intervening to address digital privacy concerns. In this conversation, Microsoft Chief Privacy Officer Julie Brill and Harvard Law School Visiting Professor Aileen Nielsen explore the current landscape of privacy regulation in the United States and worldwide. They also discuss emerging legislative and regulatory trends as policymakers grapple with the governance of AI.
- Category
- Artificial Intelligence
- Tags
- Internet
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