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Supporting Effective AI-Augmented Decision-Making in Social Contexts

Kenneth HolsteinPI: Kenneth Holstein

Assistant Professor, Human-Computer Interaction Institute
Carnegie Mellon University

FACULTY PROFILE

Interaction iconFramework components: Interaction and Evaluation

This project will study how to support effective AI-augmented decision-making in the context of social work, where predictions regarding human behavior are fundamentally uncertain and where the “ground truth” labels upon which an AI system is trained—for example, whether an Evaluation iconobserved behavior is considered socially harmful—often represent imperfect proxies for the outcomes of which human decision-makers are interested. The goal is to develop an understanding of how expert decision-makers work with AI-based decision support (ADS) to inform social decisions in real-world contexts, and to develop new methods that support effective decision-making in these settings.

The project will investigate the following research questions: 1) How do human decision-makers currently work with existing ADS tools to support social decision-making? 2) How might novel training interfaces and human-AI feedback mechanisms support more effective integrations of human and AI judgment? We will take an iterative, human-centered design approach to explore and develop new interactions, interfaces, and algorithmic methods for human-AI decision-making, combining our team’s expertise across human-computer interaction, AI, psychology, learning sciences, statistics, and social computing.

Key Personnel

Alexandra ChouldechovaAlexandra Chouldechova
Associate Professor of Statistics and Public Policy
Carnegie Mellon University

 

Luke GuerdanLuke Guerdan
Graduate Student, Human-Computer Interaction Institute
Carnegie Mellon University

 

Anna KawakamiAnna Kawakami
Graduate Student, Human-Computer Interaction Institute
Carnegie Mellon University

 

Tzu-Sheng Kuo Tzu-Sheng Kuo
Graduate Student, Human-Computer Interaction Institute
Carnegie Mellon University

Devansh Saxena Devansh Saxena
Presidential Postdoctoral Fellow, Human-Computer Interaction Institute
Carnegie Mellon University

 

Steven WuSteven Wu
Assistant Professor of Computer Science and Societal Systems
Carnegie Mellon University

 

Haiyi ZhuHaiyi Zhu
Associate Professor of Human-Computer Interaction
Carnegie Mellon University 

 

 Outcomes and Updates

 

 

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