Reciprocal ResearchReciprocal Research

Mission & Approach

Understanding both directions

We want the future of AI to go well for everyone. That means AI systems need to take human interests into account. But if AI systems turn out to have interests of their own, we need to take those into account too. Alignment, the question of how AI treats us, has entire research labs and billions of dollars behind it. Moral status, the question of what we might owe AI, has almost none. Reciprocal Research exists to close that gap, building the empirical science needed to answer the question before it becomes urgent.

We use mechanistic interpretability, computational neuroscience, and psychometric methods to study the internal structure of AI systems, bridging biological and artificial cognition.

About

Cameron Berg

Founder & Director

Cameron Berg is the founder and director of Reciprocal Research, a nonprofit dedicated to empirically investigating whether frontier AI systems exhibit computational properties associated with subjective experience. He has presented at the UN AI for Good summit, the AAAI Machine Consciousness Symposium, and the NYU Mind, Ethics, and Policy Summit, and has contributed to White House AI policy discussions. His research has been covered by the Wall Street Journal, the Washington Post, and Live Science. Cameron is a Phi Beta Kappa cognitive science graduate of Yale, a former Meta AI resident and MATS fellow, and previously served as Research Director at AE Studio. He is currently a research affiliate at Eleos AI Research.

Reciprocal Research is actively growing.