Tutorials should address technical, policy, law, and / or social science aspects of ACM FAT* issues for a broad audience. We are soliciting three types of tutorials for 2020: hands-on tutorials, translation tutorials, and implications tutorials. We will give presenters 45 or 90 minutes for translation and implication tutorials, and 90 or 180 minutes for hands-on
Hands-on tutorials should offer a broad audience the chance to experiment with new software packages designed to support ACM FAT* efforts. These tutorials should introduce the motivation for the tool, explain how the underlying technology works, and walk through a few example use cases of the presented software. We are also open to other, more experimental setups, if they are well justified.
Given our emphasis on accountability and transparency, tools used in the tutorials should be and should use open-source software (licensed under GPL, Apache 2.0, MIT, BSD etc.).
Presenters may assume that participants will bring their own laptop to the session.
This type of tutorial should be accessible to an audience beyond computer scientists but with a basic understanding of programming.
We are interested in tutorials that aim to "translate" between disciplines; for instance, by explaining computer science concepts in a way that will be practically useful for lawyers, policy makers, social scientists 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.
These tutorials should be geared towards an interested, but beginning audience. Translation tutorials should situate the topic in the related literature and proceed to deeply explain that specific topic.
Implications tutorials should cover known legal, policy, 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.
These tutorials should emphasize “real-world” implications with known examples. For instance, an implications tutorial may focus on specific case studies, walking the audience through the likely or known causes and effects of a particular ACM FAT* issue for specific individuals or communities.
We particularly encourage submissions by human rights / civil rights lawyers, policy advocates, civil society representatives, and others who work closely with individuals and communities affected by algorithmic systems and who can offer a more in-depth understanding of the processes around the use of these systems, including those for generating the datasets used by such systems.
Suggested topics for tutorials include, but are not limited to:
Note (CRAFT call): In addition to the tutorials, this year FAT* will also solicit proposals on CRAFT (Critical Reflections on Accountability Fairness and Transparency). The CRAFT Call invites panels, debates, workshops, unconferences, and other formats of contribution. Some proposals we receive under the CRAFT Call may be more appropriate as proposals for Tutorials, and vice-versa. In such cases, the Tutorial and CRAFT Co-Chairs may transfer such proposals to the other track, in consultation with proposal coordinator(s). In the event that a Tutorial decision suggests your proposal for CRAFT, you will have one week to confirm whether you accept this choice.
To apply, please send a description of the proposed tutorial (maximum of 3 pages); a link to submit your proposal will be made available. The tutorial description must include:
Submissions must be in PDF format and should be formatted according to the 2017 ACM Master Article Template. Authors who are not familiar with ACM templates may simply submit their tutorial proposals for review in two-column format, with one inch margins, 9 point Times New Roman font.
Arrangements will be made for most tutorials to be recorded, and the videos will be posted online in our video channel. By default we will provide audio/video support including a projector, a laptop, speakers, a podium, a podium mic, lapel mic, and handheld mic. If your tutorial has additional needs, please include them in your submission.