Max Kleiman‐Weiner
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About
Max Kleiman-Weiner is a leading researcher at the intersection of artificial intelligence, cognitive science, and human-robot interaction. His work fundamentally explores how intelligent systems can reason about social and moral dilemmas, blending computational models with insights from human psychology. Kleiman-Weiner is best known for developing frameworks that allow AI to infer human values, intentions, and preferences, enabling more cooperative and ethically aware machines. His highly cited research on "Computational Social Contracts" and "Inverse Planning" has reshaped how we think about AI alignment and theory of mind. A particularly notable contribution is his work on preserving a user's sense of agency in human-robot collaboration, where his 2025 paper examines how robot autonomy impacts user control and satisfaction across household tasks. This research challenges the assumption that full autonomy is always desirable, showing that users often prefer shared control to maintain their own sense of agency. With thousands of citations across his portfolio, Kleiman-Weiner's work has profound implications for designing AI systems that are not only intelligent but also socially adept and respectful of human autonomy.
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