AI & Fundamentals
Algorithmic Accountability: Designing for Safety - Ben Shneiderman, University of Maryland
DATE: Mon, March 4, 2019 - 4:00 pm
LOCATION: Room 307 - Peter Wall Institute of Advanced Studies, 6331 Crescent Road
DETAILS
AI & Society Seminar Series
Sponsored by
Centre for Artificial Intelligence Decision-Making and Action and the Peter Wall Institute of Advanced Studies
Monday, March 4, 2019
4:00 PM
Room 307
Peter Wall Institute of Advanced Studies
6331 Crescent Road
Algorithmic Accountability: Designing for Safety
Ben Shneiderman
PWIAS International Visiting Research Scholar 2018-19
Distinguished University Professor
Dept of Computer Science & Human-Computer Interaction Lab
University of Maryland, College Park, MD, USA
ben@cs.umd.edu @benbendc
Abstract:
Vital services, such as communications, financial trading, healthcare, and transportation depend on sophisticated algorithms, some relying on unpredictable artificial intelligence techniques, such as deep learning, that are increasingly embedded in complex software systems. As high-speed trading, medical devices, self-driving cars, and autonomous aircraft become more widely implemented, stronger checks become necessary to reduce failures. Design strategies that promote human-centered systems, which are comprehensible, predictable, and controllable can increase safety and make failure investigations more effective.
If you wish to meet with Dr. Shneiderman, please contact Peter Reiner (peter.reiner@ubc.ca).