AI Ethics : Accountability and Equal Distribution

Hosted By
Abhishek G.

Details
Guiding questions :
- Lack of access and understanding regarding personal information (to continue to build up from last time)
- How can we improve the accountability and verifiability in AI systems?
Format :
6:30-6:35 introduction on the format of the session
6:35 - 7:05 break out into groups to discuss the readings, build common understanding and identify unresolved issues & points of contention
7:05 - 7:50 all groups merge back and discuss unresolved issues and points of contention
7:50 - 8:00 session wrap-up and feedback
NOTE: Readings are mandatory for this session so that we can have productive discussions
Readings :
-
http://dataspace.princeton.edu/jspui/handle/88435/dsp014b29b837r
-
https://www.andrew.cmu.edu/user/danupam/datta-sen-zick-oakland16.pdf
Bonus Readings (for even more productive discussions) :

Montreal AI Governance, Ethics & Safety
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Element AI offices
4200 Boul. St. Laurent (#1200) · Montréal, QC
AI Ethics : Accountability and Equal Distribution