Summary
Divya Siddarth is the executive director and co-founder of CIP. Previously, she has been a political economist and social technologist in Microsoft’s Office of the CTO, the AI and Democracy lead at the U.K.’s AI Safety Institute, and held positions at the Ethics in AI Institute at Oxford, the Ostrom Workshop, and the Harvard Safra Center. She graduated from Stanford with a B.S. in Computational Decision Analysis in 2018.
Source: CIP Website
OnAir Post: Divya Siddarth
About
Source: Website
Welcome! I’m Divya Siddarth.
I am a political economist, social technologist, and sunset epicure. I work to enable collective intelligence for collective flourishing.
Selected Research
- How Large Language Models Can Reshape Collective Intelligence, Nature Human Behavior (2024)
- Personhood Credentials: Artificial Intelligence and the Value of Privacy-preserving Tools to Distinguish Who Is Real Online, OpenAI (2024)
- Collective Constitutional AI: Aligning a Language Model with Public Input, ACM FAccT (2024)
- Democratizing AI: Multiple Meanings, Goals, and Methods, ACM AIES (2023)
- Frontier AI Regulation: Managing Emerging Risks to Public Safety, CNAS (2023)
- Model Evaluation for Extreme Risks, DeepMind (2023)
- Generative AI and the Digital Commons, CIP (2023)
- How AI Fails Us: Pluralist Futures for A(C)I Development, Harvard Kennedy School, Technology and Democracy Series (2022)
- Data Governance for Democracy, Frontiers Policy Labs (2021)
- Who Watches the Watchmen? A Review of Subjective Approaches for Sybil-Resistance in Proof of Personhood Protocols, Frontiers in Blockchain (2020)
- A Practical Framework for Applying Ostrom’s Principles to Data Commons Governance, Mozilla Foundation (2021)
- A Roadmap to Pandemic Resilience, Harvard Safra Center for Ethics (2020)
- We do politics so we can change politics’: Technology Strategies and Practices in the Aam Aadmi Party’s Institutionalization Process, Information, Communication, and Society (2019)
- Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers, Language Resources and Evaluation Conference (2020)
Selected Writings
- Beyond Public and Private: Collective Provision Under Conditions of Supermodularity, CIP
- A Roadmap to Democratic AI, CIP
- The World Needs A Global AI Observatory, Noema Magazine
- The Case for Collective Intelligence: To Fix Tech, Democracy Needs to Grow Up, WIRED
- The Web3 Decentralization Debate Is Focused on the Wrong Question, WIRED
- What Tech Futurists Get Wrong About Human Autonomy, Noema Magazine
- Taiwan: Grassroots Digital Democracy That Works, RadicalXChange Kiosk
- The Case for the Digital Commons, the World Economic Forum
- An Internet for Humans: Proof-of-Personhood Explained, Coindesk
- The understated disruption of P2P microgrids in Bangladesh, the Morning Context
Selected Speakings
- How AI and Democracy Can Fix Each Other, TED Talks
- Who Owns Artificial Intelligence, Serpentine Gallery
- The Technology We Need for Democracy, Your Undivided Attention
- Data Cooperatives Could Give Us More Power Over Our Data, Human-Centered AI Center Fall Conference, Stanford University
- A Better Web is Possible: How Do We Make it Happen? Unfinished LIVE, Unfinished Labs and the Aspen Institute
- We Can Do Better Than Actually Existing AI, Google Insight Talk Series, Google X
- Don’t Let’s Talk About AI, Ethics in AI Colloquium, Oxford University
- Building the Pluriverse, Team Human with Doug Rushkoff
- Are We Thinking About AI Wrong, Towards Data Science Podcast
- Digital Security and Civil Society: Lecture Series, Stanford PACS
Contact
Email: divya@cip.org
