IC Colloquium: Designing for Complementarity in Human-AI Interaction
By: Ken Holstein - Carnegie Mellon University
Abstract
AI systems are increasingly used to support human work in deeply social and creative contexts like education, social work, healthcare, and design. To ensure that AI truly has a positive impact in these settings, it is critical that AI systems are designed to bring out the best of human ability, while also helping overcome human limitations. In my group’s research, we explore how to design systems that combine complementary strengths of humans and AI, rather than simply automating activities that humans do best or find personally meaningful. In this talk, I will first overview our approach to research—from studying emerging challenges in AI-augmented work, to developing and evaluating novel technologies to address these challenges. I will then share examples of our work across two themes: 1) Designing effective human-AI systems; and 2) Helping AI developers create more human-centered AI. Finally, I will discuss future research directions, focused on exploring more positive futures for AI-augmented work and preparing humans to thrive in these futures.
Bio
Dr. Ken Holstein is an Assistant Professor of Human-Computer Interaction at Carnegie Mellon University, where he directs the CoALA Lab (short for Co-Augmentation, Co-Learning, & Collaborative AI). He is also a founding member of the CMU-NIST Cooperative Research Center on AI Measurement Science & Engineering. His group studies how AI systems are currently developed and used to augment human work in real-world contexts, and creates new tools and methods to improve how AI is designed, evaluated, and used in practice. Throughout their research, they combine approaches from various disciplines, including human–computer interaction (HCI), AI & ML, design, learning sciences, and cognitive science. Their research has received awards at top-tier venues in HCI, learning sciences, & responsible AI, has impacted companies and public policy, and has been featured by outlets such as PBS, The Guardian, Wired, The New York Times, and The Boston Globe.
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Abstract
AI systems are increasingly used to support human work in deeply social and creative contexts like education, social work, healthcare, and design. To ensure that AI truly has a positive impact in these settings, it is critical that AI systems are designed to bring out the best of human ability, while also helping overcome human limitations. In my group’s research, we explore how to design systems that combine complementary strengths of humans and AI, rather than simply automating activities that humans do best or find personally meaningful. In this talk, I will first overview our approach to research—from studying emerging challenges in AI-augmented work, to developing and evaluating novel technologies to address these challenges. I will then share examples of our work across two themes: 1) Designing effective human-AI systems; and 2) Helping AI developers create more human-centered AI. Finally, I will discuss future research directions, focused on exploring more positive futures for AI-augmented work and preparing humans to thrive in these futures.
Bio
Dr. Ken Holstein is an Assistant Professor of Human-Computer Interaction at Carnegie Mellon University, where he directs the CoALA Lab (short for Co-Augmentation, Co-Learning, & Collaborative AI). He is also a founding member of the CMU-NIST Cooperative Research Center on AI Measurement Science & Engineering. His group studies how AI systems are currently developed and used to augment human work in real-world contexts, and creates new tools and methods to improve how AI is designed, evaluated, and used in practice. Throughout their research, they combine approaches from various disciplines, including human–computer interaction (HCI), AI & ML, design, learning sciences, and cognitive science. Their research has received awards at top-tier venues in HCI, learning sciences, & responsible AI, has impacted companies and public policy, and has been featured by outlets such as PBS, The Guardian, Wired, The New York Times, and The Boston Globe.
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Practical information
- General public
- Free
Contact
- Host: Tanja Käser