Leveraging Complementarity in Human-AI Decision-Making: Exploring the Impact of Information and Capability Asymmetries

Complementarity between humans and AI can lead to superior team performance, but is often not realized in practice. This work establishes a conceptual foundation to understand and develop human-AI complementarity by introducing the notion of complementarity potential and its inherent and collaborative components. The authors demonstrate the value of this conceptualization through two empirical studies that explore information and capability asymmetries as sources of complementarity potential.