CITP Seminar – The Opportunity, Threat, and Shadow Regulation of Open Models in AI
Yet open models are particularly vulnerable to overbroad regulatory intervention. While few policymakers have taken up the call to “ban” open-source, well-intentioned reforms can directly or indirectly stifle the open distribution of useful technology. Join Ben Brooks to discuss this “surreptitious” regulation of open innovation in AI across federal, state, and global jurisdictions. How should we think about the opportunity and the risk of open models? How are authorities responding in practice? What are the unintended consequences of these efforts, and what can we learn from existing reforms?
Bio: Ben Brooks is a fellow at the Berkman Klein Center, Harvard where he scrutinizes the regulatory and legislative response to open-source AI development. Brooks served most recently as head of Public Policy for Stability AI, a developer of popular AI models, including Stable Diffusion. He has testified in the US Congress and UK Parliament, and represented open developers everywhere from the White House to Bletchley Park. Previously, Brooks advocated for the safe, fair, and durable regulation of emerging technology with Uber, Coinbase, and Google’s drone delivery service, Wing, the FAA’s first certified drone “airline”. He has worked with authorities on the ground in over two dozen countries as they navigate complex reforms in high-stakes and permission-based domains – from Mandalay to Texas, and from communist governments to royal courts. Brooks holds degrees in law, history, and literature.
In-person attendance is open to Princeton University faculty, staff and students. This talk will be open to the public, at this link, via Zoom. It will be recorded and posted here, on the CITP YouTube channel, and on the Princeton University Media Central channel.
If you need an accommodation for a disability please contact Jean Butcher at butcher@princeton.edu at least one week before the event.
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