AI Ethics : Deep dive on how to embed values into machines

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UPDATE: Prof. Bengio will be joining us at the session and we've altered the time and agenda for the event. Additionally, a location has also been added for this session.

This is the second session in our bi-weekly AI Ethics group where we will be making a deep dive into how best to embed values into machines, what the implications of that are and concrete proposals that we can have around it. There will be some suggested readings that will be posted here soon which will help us have an informed discussion.

Where: room 3195, Pavillon André-Aisenstadt, Université de Montréal (https://maps.google.com/maps?q=2920%20Ch%20de%20la%20Tour%2C%20Montr%C3%A9al%2C%20QC)

2920 Ch de la Tour, Montréal, QC

When: Wednesday July 19, 10:00-11:30

Preliminary agenda is as follows:

10:00 - 10:10 (10 mins): Brief introduction about reading material and questions for the session
10:10 - 10:20 (10 mins): Presentation by Prof. Bengio on Open Philanthropy foundation grant
10:20 - 11:00 (40 mins): Split into smaller discussion groups to develop concrete, feasible proposals
11:00 - 11:20 (20 mins): Brief presentation of each group's thoughts and proposals by a spokesperson

More information on the purpose of this group ->

Topics up for discussion under 'AI Ethics' include (but are not limited to!):

• ensuring the benefits of AI are democratically available

• identifying and working on problems of social importance

• preventing weaponization and/or malicious use of AI

• quantification and correction of bias in datasets

• data ethics and privacy

• identifying the roles of researchers, policy makers, end-users, and other groups; what concrete actions each should be taking

This is not a 'deep-learning exclusive' group; members of the community and anyone interested in these issues are warmly invited to participate.

Please feel free to reach out to me on Meetup or on twitter.com/atg_abhishek if you have any questions.