Could you deliver a session that would further practice and knowledge around societal implication and risks of algorithmic systems? The second ACM Conference on Fairness, Accountability, and Transparency (ACM FAT 2019) is soliciting a wide variety of tutorials to be delivered on January 29, 2019 in Atlanta, Georgia.
- Hands-on Tutorials (90 or 180 mins) should give ACM FAT’s broad audience the chance to experiment with new software packages to deal with the issues of the conference.
- Translation Tutorials (45 or 90 mins) aim to "translate" between disciplines; for instance, by explaining computer science concepts in a way that will be practically useful for lawyers, policy makers, and other practitioners, or by explaining legal, policy, or social science concepts in a way that will guide computer scientists in their future technical explorations.
- Implications Tutorials (45 or 90 mins) should cover known legal, policy, medical, or socio-economic effects of unfair algorithmic systems, lack of interpretability of machine learning models, biases in the data, or other ACM FAT related issues. We particularly encourage submissions by civil rights lawyers, policy advocates, civil society representatives, and others who work closely with individuals and communities affected by algorithmic systems.
3 page tutorial descriptions (+1 page for Hands-On Tutorials), are due September 13, 23:59 AoE Time, and those successful will be notified on October 15.
More information, including more detailed information about formats and types of session, is available here: https://fatconference.org/2019/cftutorials.html
Best wishes,
Michael and Michael
Publicity Co-Chairs, ACM FAT 2019
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Michael Veale [@mikarv, http://michae.lv]
Dept. of Science, Technology, Engineering & Public Policy
University College London
+44(0)2031089736
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