SCS Faculty Candidate

  • Remote Access Provided
  • Virtual Presentation
  • Postdoctoral Fellow
  • Human-Computer Interaction Institute
  • Carnegie Mellon University

Designing for Human–AI Complementarity

AI systems are increasingly used to support human work in richly social contexts such as education, healthcare, and social work. To ensure that AI systems do more good than harm, it is critical that they are designed to bring out the best of human ability while also helping to overcome human limitations. In some cases, AI has the potential to help humans scale the delivery of services, make more equitable decisions, and free up human time for more meaningful activities. Yet if not carefully designed, AI systems risk rigidly scaling practices without sensitivity to local context, propagating harmful inequities, or automating away valuable human–human interactions.

In this talk, I will share results from my work on the design of systems that combine complementary strengths of human and AI decision makers, across two main research strands: 1) co-designing effective human–AI partnerships for K-12 education and 2) supporting fairer decision-making in human–AI systems. First, I will discuss insights from the co-design, development, and field evaluation of Lumilo, a form of real-time, wearable augmentation for K-12 teachers working in AI-supported classrooms. Then, I will share findings from a systematic investigation of commercial product teams’ challenges and needs for support in developing fairer AI systems. Finally, I will discuss emerging and future directions for my research, exploring core challenges in the design of effective human–AI partnerships.

Kenneth Holstein is a Postdoctoral Fellow in the Human-Computer Interaction Institute at Carnegie Mellon University. His research focuses on the design, development, and evaluation of systems that draw upon complementary strengths (and mitigate respective biases) of human and AI decision makers. His work has received multiple best paper awards at top venues, as well as media coverage from outlets such as The Boston Globe, PBS NOVA, EdWeek, and The Hechinger Report. His research has been funded by the National Science Foundation, the U.S. Institute for Education Sciences (IES), and the Metro21 Smart Cities Institute, as well as through fellowships such as the Siebel Scholarship. His work has also led to collaborations with industry partners such as Carnegie Learning and Microsoft Research. 

Faculty Host: Jodi Forlizzi

Human-Computer Interaction Institute

Zoom Participation Enabled. See announcement for registration details.

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