Collective Intelligence Project

We're hiring! Join us in making collective intelligence the obvious path - currently recruiting for two @collect_intel roles: Lead Product Engineer & Product Manager. cip.org/careers We're building the infrastructure that gives people across the globe meaningful input and agency into how AI systems are developed and governed. We combine large-scale deliberation, participatory evaluation, and institutional partnerships in a way no lab, regulator, or civil society organization can achieve alone. We're a small, high-leverage team backed by leading foundations + working with top AI labs and governments to ensure AI development expands democratic capacity rather than undermining it.

Applications for our Pilot Research Fellowship close on May 15th @ 11:59pm PT. We're accepting THREE fellows. Get yours in before the deadline! cip.org/research-fello…

Full findings from our eighth Global Dialogues, conducted with @WindfallTrust, can be viewed at windfalltrust.org/global-dialogu…

Policymakers need to start planning now. People are already feeling these impacts. The social contract for the AI age still needs to be written, and the window to write it is closing.

@jasminewsun's piece in the @nytimes is right: an AI underclass is a choice, not destiny. But we need to know what economic futures people want and are willing to accept. With @windfalltrust, we asked 1,041 people across 64 countries through a deliberative, interactive dialogue, and the answers are more specific than the current policy debate assumes. Dive deeper into our findings: blog.cip.org/p/built-on-sha…

The position is part-time (up to 10 hours a week), paid, and non-residential. You can find more details here: cip.org/research-fello… The deadline to apply is May 15, 2026. If you have any questions, reach out to fellowship@cip.org.

Over the course of six months, you’ll have access to our large, evolving datasets on what the world thinks about AI and have the opportunity to produce rigorous, public-facing research that will inform the future of participatory governance.

We are launching a new research fellowship! We are looking for 3 researchers – ideally PhD candidates or early-career postdocs* – who are passionate about AI and democratic governance. cip.org/research-fello… *We are open to Masters-level students!

The Collective Intelligence Project @collect_intel is launching a new research fellowship! We are looking for 3 researchers – ideally PhD candidates or early-career postdocs – who are passionate about AI and democratic governance. Over the course of six months, you’ll have access to our large, living datasets on what the world thinks about AI and have the opportunity to produce rigorous, public-facing research that will inform the future of participatory governance. The position is part-time (up to 10 hours a week), paid, and non-residential. More details and application here: lnkd.in/eei3x8nV Deadline to apply is May 15, 2026. If you have any questions, please reach out to fellowship@cip.org.

What a joy to guest curate #TED2026 with @divyasiddarth of @collect_intel.🙌 Session 2: Collective Intelligence was special.💯 Gratitude to our speakers, especially @jaybaxter & @kcoleman for the deep dialogue on @CommunityNotes.🙏 All of Us can #FreeTheFuture🖖 — together!

Who gets to decide how AI is built? This Wednesday @ourthuley, our Head of Global Partnerships, joins @pro_jectliberty to share findings from CIP's Global Dialogues Index and introduce weval.org, our platform for societal AI evaluation. Come find out how we're building democratic AI governance. events.projectliberty.io/cip-2026

SOOO excited to share this research. It has been many months in the making, and it’s the largest and certainly the most multilingual qualitative study that we think has ever been run!?

We're hiring cip.org/careers.

Come work with us @collect_intel

Not🆕 #DigitalTwins virtual model sim real-world chars/behaviors counterpart, so what's big deal? @collect_intel E.Hadfield @WAPOR #BigData models ➡️ gen-purpose #AI agents as compute cheapens ⚠️ compounding errors in scaled workflow 🗝️ robust system to eval fidelity/user trust