Behavioral Science for AI Ethics and Governance (AI Ethics and Governance Lecture Series)
Prof. Jean-François Bonnefon |
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4:30 – 6:30 pm |
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Cho Yiu Conference Hall with synchronous online broadcasting on Zoom |
Joining the Seminar face-to-face:
Limited seats for face-to-face seminar. Registrations will be handled on a first come, first served basis.
Register by 10 October 2024: https://cloud.itsc.cuhk.edu.hk/webform/view.php?id=13696600
Joining the Seminar online:
No registration is required.
Link: https://cuhk.zoom.us/j/95289859191
Meeting ID: 952 898 59191
Enquiries:
Tel: 3943 7135
Email: philosophy@cuhk.edu.hk
Abstract:
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.
Delivered in English.
All are welcome.