The fields of cognitive science and artificial intelligence (AI) originally developed hand in hand: human cognition inspired the first AI systems, and those systems in turn inspired new theories of human cognition. AI has made rapid progress in the last decade, creating new opportunities for synthesis with cognitive science. Modern AI systems offer potential insights into how human minds may – and may not –  work, thus fueling new theoretical advances in cognitive science. Conversely, modern AI systems have significant limitations relative to humans, and advances in cognitive science can provide insights into the processes underlying human capabilities, leading to new innovations in AI. 

The goal of the Natural and Artificial Minds (NAM) initiative is to support opportunities for mutual interaction across the cognitive sciences and AI, accelerating discoveries about natural and artificial minds and creating a unique community for theory-driven research in cognitive science.

A key insight driving NAM is that minds and mental capacities can be fruitfully investigated beyond their paradigmatic manifestation in humans. By focusing on the questions – and sometimes answers – that are shared across natural and artificial minds, we can advance a more general science of minds. At the same time, appreciating the diversity of minds can create new opportunities for understanding and improving intelligent systems. To accomplish this vision, NAM brings together different branches of cognitive science, including psychology, computer science, philosophy, and neuroscience. 

In its first year (2024-2025), NAM will focus on launching two research efforts. The first, led by NAM co-director Sarah-Jane Leslie, focuses on developing and testing AI models of human cognitive function. The second, led by NAM co-director Tania Lombrozo, focuses on explanation and intelligibility in humans and machines. For more information, see Core Projects. 

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