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An Integrated Prescriptive Framework for Human-AI Collaboration

Led by: Sina Fazelpour

AI tools are increasingly deployed in many organizational settings to assist or collaborate with human experts. This project will develop a framework for integrating our functional and ethical values (such as accuracy, robustness, fairness, and autonomy) into human-AI teams, in ways that leverage the diverse and complementary capabilities of AI tools and human experts. The project connects directly with improved policy in contexts such as hiring, criminal justice, and healthcare, where marginalized groups are severely disadvantaged. By adopting a broader socio-technical lens, the proposed work can help robustly integrate values of justice and fairness in human-AI teams.

Project sponsor/grantor:

  • Schmidt Futures AI2050 Early Career Fellowship

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