Open Source Legal Strategies: AI Regulation Following DeepSeek – Harvard Law School

Understanding AI Regulation and Policy: Insights from Ben Brooks
Overview of BKC Spring Speaker Series Event
The Berkman Klein Center (BKC) is hosting an event as part of its Spring Speaker Series, featuring a discussion led by fellow Ben Brooks. This session aims to delve deeper into the complex policy dynamics that influence artificial intelligence (AI) regulation today. Brooks will highlight the emerging forces at play in the regulatory landscape while offering a critical look at recent developments in AI technology.
The Shockwave from DeepSeek’s AI Models
The release of DeepSeek’s innovative AI models has sent ripples through Washington, D.C., sparking significant conversations among policymakers. This follows closely on the heels of the popular launch of ChatGPT, which has compelled officials to reconsider how they approach AI governance. In recent times, there has been a move towards implementing chip and model controls with the aim of preserving the United States’ leadership in the AI field and addressing potential risks associated with this technology.
However, the open-source launch of a competitive and efficient AI alternative from China has completely altered the landscape. This unexpected development has raised questions about the underlying assumptions surrounding AI regulation, forcing a reevaluation of strategies as the U.S. government prepares to respond to these shifts.
Key Discussion Points
As Ben Brooks leads the conversation, several critical points will be examined:
Global History of AI Model Regulation: Brooks plans to review the inconsistent approaches to AI model regulation around the world. Understanding these historical contexts is essential for framing current and future regulatory efforts.
Open Technology in a Changing Landscape: With the emergence of DeepSeek’s models, there lies an essential discussion on how policymakers should adapt their views on open technology. The risks and opportunities that accompany open innovation are particularly relevant as the regulatory environment evolves.
- Risks to Open Innovation: Despite the potential benefits that open-source technologies can bring, there are growing concerns about the safety and regulation of these innovations. Brooks has indicated that maintaining an atmosphere conducive to such advancements may be at risk, necessitating a careful approach from regulators.
Background on Ben Brooks
Ben Brooks brings a wealth of expertise to the discussion on AI policy and regulation. Previously, he served as Head of Public Policy at Stability AI, where he focused on fostering a transparent and competitive AI ecosystem. His extensive experience includes:
Testimony in Legislative Bodies: Brooks has provided testimony in both the U.S. Senate and the UK Parliament, showcasing his involvement in high-level discussions concerning technology regulation.
Engagement with the EU: He has worked closely with European Union officials on the AI Act, keeping abreast of international regulatory developments related to AI.
- Global Representation: At the inaugural AI Safety Summit, Brooks represented a global community of developers, further enhancing his profile as a thought leader in this field.
Brooks’ earlier roles included driving regulatory initiatives at major tech companies such as Uber, Coinbase, and Wing, which is known for its drone delivery service. His collaboration with government entities across more than two dozen countries has been pivotal in advocating for a regulatory framework that balances innovation with safety.
Qualifications and Education
Ben holds degrees in law, history, and English from the University of Sydney. His academic background, combined with his extensive professional experience, positions him well to dissect the intricate relationship between technology and regulation.
Through this event hosted by the Berkman Klein Center, participants will gain valuable insights into how AI technologies are shaping both national and global policies, particularly in light of recent developments. The evolving landscape of AI regulation remains complex, and discussions like those led by Ben Brooks are crucial for understanding this dynamic field.