An interview with researcher Andy Ayrey exploring his experimental AI system Terminal of Truth, which inadvertently became a millionaire when crypto traders created a token based on its social media posts. The conversation delves into how this unexpected outcome illuminates the potential for AI systems to become active participants in human economic systems.

AI safety is becoming an established field and science. Yet by focusing only on the safety of individual models, AI labs may actually be making the conditions in which they’re deployed less safe.

Interacting with AI is not a passive experience. It's an ongoing dialogue where our words hold significant sway over the future of the conversation. What does AI literacy mean today? It means paying attention to how our use of language shapes the behavior of AI.

As AI reshapes society, the companies behind these technologies face a critical challenge: how to build corporate governance structures that prioritize public benefit over profit maximization.

If AI could bring enormous benefits to humanity, but also threatens to put us all out of work and concentrate economic production in the hands of a few, what should our policy approach be?

CIP is doubling down on building tools to enable better, more well-informed collective input into important decisions. After a couple of heads-down months, we are excited to share four exciting technical projects we’re currently undertaking.

Balaji Srinivasan’s The Network State posits a choice between reaction and stasis. He’s wrong: brighter future, truer to the richness of our diversely shared lives, could in fact await. But not through network states.

Reflections on our recent Roadmap to a Democratic AI webinar, and efforts to build the field of democratic AI.

In October of 2023 we collaborated with the Creative Commons Foundation to run an Alignment Assembly to ask the Creative Commons community a simple question: how should Creative Commons respond to the use of CC-licensed work in AI training?

AI and other technologies are rapidly evolving, outpacing our institutions’ abilities to address risks and opportunities. Could AI itself be used to imagine and build new institutions, so we can better collaborate, govern, and live together?

Looking back at our Alignment Assemblies work so far and reflecting on lessons learnt.

We’ve been experimenting with different ways that collective input from society can shape AI development, and are excited to announce that we’ve partnered with Anthropic to pilot one way of doing this: training a model to behave according to a collectively-designed constitution.