AI Ethics : Accountability and Equal Distribution

This is a past event

48 people went

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Details

Guiding questions :

1) Lack of access and understanding regarding personal information (to continue to build up from last time)
2) 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 :

1) http://dataspace.princeton.edu/jspui/handle/88435/dsp014b29b837r

2) https://www.andrew.cmu.edu/user/danupam/datta-sen-zick-oakland16.pdf

3) http://policy-practice.oxfam.org.uk/blog/2015/08/a-rights-based-approach-to-treating-data-responsibly

Bonus Readings (for even more productive discussions) :

1) https://responsibledata.io/wp-content/uploads/2014/10/responsible-development-data-book.pdf