Algorithmic Accountability: Designing for Safety
Thursday, April 19 | 4:15 PM
Science Center, Auditorium D, 1 Oxford Street, Cambridge MA
Lecture by Ben Shneiderman, Distinguished University Professor in the department of computer science, founding director of the Human-Computer Interaction Laboratory, and member of the Institute for Advanced Computer Studies, University of Maryland, College Park
Vital services such as communications, financial trading, health care, and transportation depend on sophisticated algorithms. Some rely on unpredictable artificial intelligence techniques, such as deep learning, that are increasingly embedded in complex software systems. As high-speed trading, medical devices, and autonomous aircraft become more widely used, stronger checks are necessary to prevent failures. Design strategies that promote comprehensible, predictable, and controllable human-centered systems can increase safety and make failure investigations more effective. Social strategies that support human-centered independent oversight during planning, continuous monitoring during operation, and retrospective analyses following failures can play a powerful role in making more reliable and trustworthy systems. Clarifying responsibility for failures stimulates improved design thinking.
To register, visit www.radcliffe.harvard.edu/event/2018-ben-shneiderman-lecture.
The event is free and open to the public, and is cosponsored by the Harvard Data Science Initiative. We encourage you to share this invitation with people you know who may be interested.
Radcliffe Institute Lecture with Ben Shneiderman – 4/19
