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About Divya Siddarth

Executive Director at Collective Intelligence Project

Divya Siddarth is the co-founder and Executive Director of the Collective Intelligence Project (CIP), a political economist and social technologist focused on leveraging AI/ML for democratized technology, decentralized governance, and collective flourishing. She advocates for integrating collective intelligence into AI systems to enhance democracy, ensuring public participation in AI governance without sacrificing freedom for technological progress. Her work spans research, TED talks, podcasts, and collaborations with figures like Glen Weyl, Audrey Tang, and Saffron Huang.

Biography and Background

Divya Siddarth is a political economist, social technologist, and self-described 'sunset epicure' dedicated to enabling collective intelligence for collective flourishing.[4][16] She serves as co-founder and Executive Director of the Collective Intelligence Project (CIP), an experimental research organization exploring AI's role in consultative democratic governance.[8][16] Previously affiliated with Microsoft, RadicalxChange Foundation, and the Ostrom Workshop, her career bridges tech, economics, and governance.[2][3][16]

Collective Intelligence and AI

Siddarth's core vision centers on 'collective intelligence'—harnessing AI to amplify communal decision-making rather than individual cognition.[9][11][20] At CIP, she leads initiatives like Alignment Assemblies, enabling global public input on AI development to democratize control and mitigate risks.[18][17] She argues for incorporating collective intelligence into AI evaluations and systems, reframing knowledge as social and relational.[9][20]

Democratizing Technology and AI

Siddarth pushes for decentralizing AI to prevent monopolies, proposing 'network societies' over 'network states' and 'shared code' models for AI companies.[7][12][13] In her TED Talk, she asserts that AI and democracy can mutually reinforce each other, avoiding freedom sacrifices for progress.[5][6] She critiques centralized tech, advocating democratized tools for public voice in AI governance.[1][2][15]

Democratic Governance and the Pluriverse

She envisions 'Pluriverse' governance—digitally-empowered, consultative systems drawing from movements like Taiwan's vTaiwan.[3][10] Collaborations with Audrey Tang and Glen Weyl explore AI for network societies and rethinking checks-and-balances in the AI age.[1][10][11][14] Siddarth calls for maturing democracy through collective intelligence to fix tech's flaws.[2][11]

Key Contributions and Recognition

Notable works include TED Talks on AI-democracy synergy,[5][6][8] podcasts on decentralizing AI,[7][9][10] and CIP blogs on alignment and evals.[11][12][13][18][20] Recognized in TIME100 AI 2024 with Saffron Huang for influential AI work.[21] Her projects span ethics colloquia,[1] iWORD talks,[11] and global input initiatives.[17][19]

Collective Intelligence

Core concept of using AI to enable communal decision-making and knowledge-sharing for societal flourishing.

  • CIP explores AI for consultative governance and relational knowledge [9]

  • Notes on building collective intelligence into AI evals [20]

  • Case for collective intelligence at iWORD [11]

Democratizing AI

Advocacy for public participation in AI governance through decentralization and alignment assemblies.

  • Alignment assemblies for global AI input [18]

  • Shared code to democratize AI companies [13]

  • TED Talk: AI and democracy fix each other [5]

Decentralized Governance

Promotion of network societies, Pluriverse, and digitally-empowered democracy over centralized models.

  • Network societies not states [12]

  • Pluriverse on Team Human podcast [3]

  • Outfitting democracy for AI era with Audrey Tang [10]

Tech-Democracy Symbiosis

Mutual reinforcement of technology and democracy to address flaws without sacrificing freedom.

  • To fix tech, democracy needs to grow up [2]

  • Ethics in AI colloquium [1]

  • Rethinking checks and balances for AI age [14]

Social Technology

Bridging political economy, tech, and governance for equitable, participatory systems.

  • Political economist at Microsoft/RadicalxChange [2][3]

  • Democratized technology research [15]

  • Shaping AI with global input [17]

Every entry that fed the multi-agent compile above. Inline citation markers in the wiki text (like [1], [2]) are not yet individually linked to specific sources — this is the full set of sources the compile considered.

  1. Ethics in AI Colloquium with Glen Weyl & Divya Siddarth: Don't Let's ...article · 2026-04-14
  2. To Fix Tech, Democracy Needs to Grow Up - WIREDarticle · 2026-04-14
  3. Divya Siddarth - Team Human podcastarticle · 2026-04-14
  4. Divya Siddartharticle · 2026-04-14
  5. Divya Siddarth: How AI and democracy can fix each other | TED Talkarticle · 2026-04-14
  6. How AI and Democracy Can Fix Each Other | Divya Siddarth | TEDarticle · 2026-04-14
  7. Decentralizing AI with Divya Siddarth - The Radical AI Podcastarticle · 2026-04-14
  8. Divya Siddarth | Speaker - TED Talksarticle · 2026-04-14
  9. Computer Says Maybe: The Collective Intelligence Project w/ Divya Siddarth and Zarinah Agnewpodcast_episode · 2026-04-14
  10. Possible: Audrey Tang and Divya Siddarth on Outfitting Democracy for the AI Erapodcast_episode · 2026-04-14
  11. The Case for Collective Intelligence @ iWORD 2022article · 2026-04-14
  12. We need network societies, not network statesarticle · 2026-04-14
  13. Shared Code: Democratizing AI Companiesarticle · 2026-04-14
  14. Blog 2 — The Collective Intelligence Projectarticle · 2026-04-14
  15. Divya Siddarth - Open Collectivearticle · 2026-04-14
  16. Divya Siddarth — The Collective Intelligence Projectarticle · 2026-04-14
  17. Divya Siddarth is Shaping AI With Global Input - Mediumarticle · 2026-04-14
  18. We should all get to decide what to do about AIarticle · 2026-04-14
  19. Divya Siddarth profile interview - All Tech Is Humanarticle · 2026-04-14
  20. Notes on building collective intelligence into evalsarticle · 2026-04-14
  21. Saffron Huang and Divya Siddarth: The 100 Most Influential People in AI 2024 - Time Magazinenews_article · 2026-04-14