Events Calendar

CS Colloquium: Niloufar Salehi (UC Berkeley) - Designing Reliable Human-AI Interactions

Speaker: Niloufar Salehi, UC Berkeley

Talk Title: Designing Reliable Human-AI Interactions

Abstract: How can users trust an AI system that fails in unpredictable ways? Machine learning models, while powerful, can produce unpredictable results. This uncertainty becomes even more pronounced in areas where verification is challenging, such as in machine translation or probabilistic genotyping. Providing users with guidance on when to rely on a system is challenging because models can create a wide range of outputs (e.g. text), error boundaries are highly stochastic, and automated explanations themselves may be incorrect. In this talk, I will focus on the case of health-care communication to share approaches to improving the reliability of ML-based systems by designing actionable strategies for users to gauge reliability and recover from potential errors.
 
This lecture satisfies requirements for CSCI 591: Research Colloquium

Biography: Niloufar Salehi is an assistant professor in the School of Information at UC, Berkeley and faculty member of Berkeley AI Research (BAIR). Her research interests are in social computing, human-centered AI, and more broadly, human-computer interaction (HCI). Her research is in close collaboration with partners and domain experts spanning education to healthcare to restorative justice. Her work has been published and received awards in premier venues including ACM CHI and CSCW and has been covered in VentureBeat, Wired, and the Guardian. She is a W. T. Grant Foundation scholar. She received her PhD in computer science from Stanford University in 2018.

Host: Souti Chattopadhyay

Location: Olin Hall of Engineering (OHE) - 136

Audiences: Everyone Is Invited

Contact: CS Faculty Affairs