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Socially Minded Intelligence: How Individuals, Groups, and Artificial Intelligence Can Make Each Other Smarter (or
William John Bingley1,2, S Alexander Haslam2, Janet Wiles3
1Faculty of Education, The University of Melbourne, VIC, Australia.
Summary
We introduce socially minded intelligence, a new framework for understanding how individuals and groups, including artificial intelligence (AI) agents, can work together effectively. This concept moves beyond traditional views of individual or collective intelligence to foster better human-AI collaboration.
Area of Science:
- Cognitive Science
- Artificial Intelligence
- Psychology
Background:
- Current intelligence frameworks often focus on individual or group capabilities separately.
- This separation limits understanding of dynamic interactions crucial for flexible collaboration.
- Artificial intelligence (AI) systems currently lack robust capabilities for seamless human-AI interaction.
Purpose of the Study:
- To propose a novel concept of 'socially minded intelligence' applicable to individuals, groups, and AI.
- To address the limitations of existing intelligence paradigms in fostering collaboration.
- To explore measurement, cultivation, and modeling of this intelligence in various systems.
Main Methods:
- Conceptual framework development for socially minded intelligence.
- Discussion of potential methods for measuring and cultivating this intelligence in humans.
- Outline of approaches for modeling socially minded intelligence in AI agents.
Main Results:
- Identified limitations in current individual and collective intelligence models.
- Proposed 'socially minded intelligence' as a unifying concept for human and AI collaboration.
- Outlined a pathway for developing and applying socially minded intelligence across systems.
Conclusions:
- Socially minded intelligence offers a new perspective to enhance human-AI interaction and collaboration.
- This framework can guide the development of more adaptive and cooperative AI agents.
- Further research is needed to operationalize and validate socially minded intelligence metrics and models.
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