About the Talk:

AI will have significant, far-reaching economic and societal impacts. Technology shapes the lives of individuals, how we interact with one another, and how society as a whole evolves. We believe that decisions about how AI systems behave should be shaped by diverse perspectives reflecting the public interest. Join Lama Ahmad (Policy Researcher at OpenAI) and Saffron Huang and Divya Siddarth (Co-Directors of the Collective Intelligence Project) in conversation to reflect on why public input matters for designing AI systems, and how these methods might be operationalized in practice.

The Collective Intelligence Project White Paper: The Collective Intelligence Project (CIP) is an incubator for new governance models for transformative technology. CIP will focus on the research and development of collective intelligence capabilities: decision-making technologies, processes, and institutions that expand a group’s capacity to construct and cooperate towards shared goals. We will apply these capabilities to transformative technology: technological advances with a high likelihood of significantly altering our society.

Read More About the OpenAI Grant, Democratic Inputs to AI

About the Speakers:

Lama Ahmad is on the Policy Research team at OpenAI, where she leads efforts on external assessments of the impacts of AI systems on society. Her work includes leading the Researcher Access Program, OpenAI's red teaming efforts, third party assessment and auditing, as well as public input projects.

Divya Siddarth is the Co-Founder and Co-Director of the Collective Intelligence Project. She is a political economist and social technologist at Microsoft’s Office of the CTO, a research director at Metagov and the RadicalXChange Foundation, a research associate at the Ethics in AI Institute at Oxford, and a visiting fellow at the Ostrom Workshop. Her work has been featured in Stanford HAI, Oxford, Mozilla, the Harvard Safra Center, WIRED, Noema Magazine, the World Economic Forum, and Frontiers in Blockchain.

Saffron Huang is the co-director & co-founder of the Collective Intelligence Project and a technologist, researcher and writer. She was previously a research engineer at DeepMind working on topics such as multi-agent RL and language models, and has worked on technology governance research with organizations including the Center for the Governance of AI, the Ethereum Foundation, Reboot, the Harvard Berkman Klein Center and the British Foreign Office. She co-founded Kernel Magazine.