Socially Minded Intelligence: How Individuals, Groups, and Artificial Intelligence Can Make Each Other Smarter (or Not)

TL;DR

This paper introduces the concept of socially minded intelligence, emphasizing the importance of dynamic interactions between individuals, groups, and AI to enhance collective problem-solving and adaptability.

Contribution

It proposes a new framework for socially minded intelligence applicable to humans and AI, addressing limitations of existing individual and group intelligence models.

Findings

Conceptualizes socially minded intelligence as a dynamic interaction.

Suggests methods to measure and cultivate this intelligence in humans.

Proposes modeling approaches for AI agents to develop socially minded intelligence.

Abstract

A core part of human intelligence is the ability to work flexibly with others to achieve goals. The incorporation of artificial agents into human spaces is making increasing demands on artificial intelligence (AI) to demonstrate and facilitate this ability. However, this kind of flexibility is not well understood because existing approaches to intelligence typically construe this either as an individual-difference trait or as a property of groups. We argue that by focusing either on individual or collective intelligence without considering their dynamic interaction, existing conceptualizations of intelligence limit the potential of people and AI systems. To address this impasse, we propose a new kind of intelligence, 'socially minded intelligence', that can be applied to both individuals and collectives. We outline how socially minded intelligence might be measured and cultivated within people, how it might be modelled in AI agents, and how it might be applied to other intelligent systems.