AI ethics and governance strive to maximize the social benefits of artificial intelligence while minimizing its adverse effects. Behavioral science contributes to this effort through at least three research families, which I will illustrate during this conference. The 'moral machine' approach seeks to measure what people want machines to do when machines make ethical decisions. The 'machine behavior' approach seeks to measure what machines do, when their moral behavior is unpredictable enough that it must be studied with methods we use to study humans. The 'machine culture' approach seeks to measure the impact of machines on the moral behavior of humans. Examples will include autonomous vehicles, lie-detection algorithms, and delegation to machine subordinates.
Speaker
Prof. Jean-François Bonnefon
CNRS Research Director,
Director, Institute for Advanced Study in Toulouse,
Director, Department of Social and Behavioral Sciences, Toulouse School of Economics
Tel: (852) 3943 7135
Fax: (852) 2603 5323
Website: http://phil.arts.cuhk.edu.hk/