(4/4) Interested in participating?


RSVP to get access to pre-workshop materials here: ci-x-tp.github.io.

Complete the official registration here: ci.acm.org/2025/

And stay tuned for more updates!

(3/4) The workshop will be interactive. We aim to involve participants from both sides of the science-policy interface, and a majority of the time will be spent collaboratively developing collective-intelligence-inspired policy recommendations.

(2/4) We’ll talk about what it means to adopt the collective intelligence perspective, and how that perspective can change the way we approach some of today’s most pressing tech policy issues — like how to reform social media and how to responsibly govern AI.

Thanks, Samuli!

This should work: www.researchgate.net/publication/...

Have you already read about the middleware proposal? fsi-live.s3.us-west-1.amazonaws.com/s3fs-public/...

And the exchange on "the future of platform power" here: www.journalofdemocracy.org/issue/july-2...

So, how will LLMs reshape CI?

Check out our paper for the good, the bad, and what we think should be done to safeguard CI amid rapid LLM development.

Open access: rdcu.be/dUytc

LLMs might have an important role to play in promoting CI. It even could be argued that LLMs are new kind of CI itself.

Yet, LLMs also seem to be leading us towards a more opaque, proprietary, and enclosed information environment, which could undermine much of the CI we know and rely on today.

We see collective intelligence (CI) wherever individuals act collectively to achieve outcomes that no individual could achieve alone.

CI underpins the the success of groups, organizations, markets, and societies.

But CI is fragile and only emerges when certain elements align.