The Collective Intelligence Project

The weekly collection of intel that we've produced and gathered. First, our latest essay with Nathan Schneider on democratizing AI companies. We map proven paths to shared ownership & decision-making in AI—from purpose trusts to public councils. AI companies need democratic governance, not just technical breakthroughs. Read at: cip.org/blog/shared-code

“We don't have to sacrifice our freedom for the sake of technological progress” Divya Siddarth If you are in Montenegro today, you do not want to miss Divya’s talk at the University of Donja Gorica. How might we ensure that AI is used in ways that are human centered, reliable, explainable, ethical, inclusive, in full respect, promotion and protection of human rights and international law, privacy preserving, sustainable development oriented, and responsible? Check out Divya’s lecture and come say hi to her and some of the awesome humans cc’ed. Divya is making global waves due to her remarkable vision at The Collective Intelligence Project Most recently TIME Magazine included her on their TIMEAI 2024 list https://lnkd.in/dESy6HVE In her TED Talk she shares how a group of people helped retrain one of the world's most powerful AI models on a constitution they wrote and offers a vision of tech that aligns w/the principles of democracy, rather than conflicting w/them: https://lnkd.in/d2NNaDAK Montenegro is priviledged to have you Divya 🤍 Cc’ Tiago Milica Keegan Flavio Varun Robin Montenegrin AI Association Itana Nikola Sunčica Milo

Today marks the launch of The Digitalist Papers from the @Stanford Digital Economy Lab, a groundbreaking collection of essays exploring AI and digital technologies' impact on U.S. society and democracy. In their essay, A Vision of Democratic AI, Divya Siddarth, Audrey Tang, and Saffron Huang outline ways to govern AI through innovative forms of public input and citizen engagement. https://lnkd.in/e6XrCXwE

The Collective Intelligence Project is collecting intel! Meet "Collections," a weekly roundup of things that have inspired us and shaped our thinking. /thread

Divya and Saffron = co-founder mode.

Our co-founders Divya Siddarth and Saffron Huang have been named to the #Time100AI list! We're incredibly grateful to Billy Perrigo for capturing our ethos and mission in Time's feature. Check it out here: https://lnkd.in/d2qXmPht We believe that everyone has a place in the future that AI is bringing about; everyone should also have a say in deciding that future. There's so much work to be done to build a more pluralistic and democratic AI ecosystem. Join us in this mission!

Interesting essay on how to distribute the benefits from AI –– "Predistribution over Redistribution" -- by Saffron Huang and Sam Manning. It's published on The Collective Intelligence Project's blog: https://lnkd.in/eKn_tRzm Advanced AI systems could concentrate power and economic value in the hands of a small group of AI companies. To address this concentration of wealth and power, you might want to take a primarily redistributive approach. This essay argues that *re*distribution should be complemented by *pre*distribution.

We just published a new essay co-authored by Saffron Huang and Sam Manning from Centre for the Governance of AI (GovAI) "Predistribution over Redistribution: Beyond the Windfall Clause" https://lnkd.in/eAFFr-pK

CIP is living up to its name: we’re building tools for collective intelligence. Here’s a bit more on what we’re working on: https://lnkd.in/eG4BgaRk 1. Scenario Construction. This tool will help policymakers generate scenarios, stress-test policies, and gather public input in high-uncertainty settings. Useful for collective deliberation on complex, uncertain topics like AI governance. 2. Open-Source Collective Constitutional AI (OSCCAI). Expanding on our CCAI project with @AnthropicAI, we’re building an open-source platform that allows for communities around the world to create their own constitutions and fine-tune models. 3. Collective Intelligence with Agents (CIwA) Imagine AI agents representing different areas of expertise, deliberating on complex topics on behalf of you. Anticipating a more agentic world, we are setting up a framework for the collective governance of deliberative agents. 4. Voice of Nature: AI agents advocating for natural entities (e.g., rainforests, rivers) in human discussions. By combining environmental data with LLMs, these agents give voice to non-human stakeholders in critical conversations. These tools are early experiments in our mission to enable better collective input into important decisions. Interested in contributing? In addition to hiring for a founding engineer, we’re also looking for project partners and funders to help us build these tools for collective intelligence. Reach out!