Augmenting Collective Intelligence through Belbin’s Team Roles

Abhishek Gupta, Emily Dardaman

Keywords: collective intelligence, teaming, AI, labor, ethics, organizational design

TL;DR: Through the lens of Augmented Collective Intelligence, the authors evaluate which archetypal roles on human teams have the most potential for being augmented by AI tools.

Abstract: Augmented Collective Intelligence (ACI) allows organizations to improve performance by combining human and artificial intelligence in teams. We use Belbin’s Team Roles, a popular framework that identifies nine clusters of behavioral attributes, to explore how roles might be augmented by AI tools. Each role is rated as having low, medium, or high potential for augmentation at current system capabilities. The paper concludes that developing an ACI strategy requires leaders to understand human and AI capabilities and how each evolves over time.