An AI Theory of Mind Will Enhance Our Collective Intelligence
Michael S. Harr\'e, Catherine Drysdale, Jaime Ruiz-Serra

TL;DR
This paper argues that integrating a Theory of Mind into AI systems can significantly enhance collective intelligence by enabling AI agents to better understand and adapt within social environments, mirroring human social cognition.
Contribution
It introduces the idea that AI with a Theory of Mind can improve collective intelligence, drawing parallels with human social cognition and emphasizing the importance of socio-cognitive adaptation.
Findings
AI with Theory of Mind can better participate in social groups.
Psychologically mediated collective intelligence is crucial for complex social systems.
AI can adapt into social niches similar to humans.
Abstract
Collective intelligence plays a central role in many fields, from economics and evolutionary theory to neural networks and eusocial insects, and is also core to work on emergence and self-organisation in complex-systems theory. However, in human collective intelligence there is still much to understand about how specific psychological processes at the individual level give rise to self-organised structures at the social level. Psychological factors have so far played a minor role in collective-intelligence studies because the principles are often general and applicable to agents without sophisticated psychologies. We emphasise, with examples from other complex adaptive systems, the broad applicability of collective-intelligence principles, while noting that mechanisms and time scales differ markedly between cases. We review evidence that flexible collective intelligence in human social…
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Taxonomy
TopicsNeuroscience, Education and Cognitive Function
