Algorithmic Accountability: Designing for Safety - Ben Shneiderman, University of Maryland

Date
Location

Room 307 - Peter Wall Institute of Advanced Studies, 6331 Crescent Road

Title: Algorithmic Accountability: Designing for Safety

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 necess ary 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. Schneiderman, please contact Peter Reiner (peter.reiner@ubc.ca).

 


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