Call for Contributions (Panels, Workshops, Debates, Unconferences, ...)
29/30. January, 2020
Barcelona, Spain
The
ACM FAT* conference has predominantly focused on fairness,
accountability, and transparency. The success of the field of fairness,
accountability, and transparency has also attracted much critique and
renewed attention to the limitations of achieving these goals in systems
that implement statistical, machine learning, optimization, or
autonomous computing techniques. A number of prominent studies
acknowledge that addressing societal problems embedded in such computing
systems may require more holistic approaches.
In
the spirit of reflection and response, we invite academics of all
disciplines and people representing different communities of practice
(including journalism, advocacy, organizing, education, art, public
authorities) to contribute to a program that will be subject to its own
review process and that will be embedded in the ACM FAT* conference (the
CRAFT call is very much inspired by the NeurIPS 2018 CRACT workshop.)
This call invites contributions to that program in the form of
workshops, panels, and other formats to:
-
address critiques of the field of fairness, accountability, and
transparency, such as its blind spots,omissions, or alternative
possibilities that take a more holistic approach,
- open future lines of research, collaboration, and practice.
In
addition to contributions that explore the problem space in greater
depth and from broader perspectives, we particularly encourage proposals
that explore solution spaces, indicate mechanisms for positive change,
or open possibilities for a greater conversation around countering
automated injustices. We value proposals focused on interaction among
participants, and we look forward to formats that allow participants to
explore starting assumptions, prior experiences, or competing values and
to foster community building, shared knowledge production, and future
engagement.
Please
note that CRAFT emphasizes reflection and critique and differs in
important and subtle ways from Tutorials. By offering contributors a
space to address blind spots and omissions, offer alternative
approaches, and open new possibilities for the field, CRAFT seeks
contributions that challenge. By contrast, Tutorials primarily educate
and inform. We expect that CRAFT will feature unconventional ideas in
engaging and diverse formats. Tutorials, by contrast, might include
explainers regarding existing tools, overviews of bodies of literature,
or best practices. Some proposals we receive under the CRAFT program may
be more appropriate as proposals for Tutorials track, and vice-versa.
In such cases, the Tutorial and CRAFT Co-chairs may transfer such
proposals to the other program, in consultation with Coordinator(s). In
the event that a CRAFT decision suggests your proposal for the Tutorials
section of the ACM FAT* 2020 program, you will have one week to confirm
whether you accept this choice.
Themes
Theme 1: Modeling and (Non-)Deployment
Theme 2: Values, Assumptions and Context
Theme 3: Generating Higher Order Critiques
Theme 4: Emerging Problems
For further details of the themes, submission guidelines and dates please visit: https://fatconference.org/2020/callforcraft.html
Please contact craft@fatconference.org for any questions.
CRAFT Co-Chairs
Seda Guerses, TU Delft
Seeta Peña Gangadharan, London School of Economics
Suresh Venkatasubramanian, U. Utah
Selection committee:
Nasma Ahmed, Digital Justice Lab
J. Khadijah Abdurahman, WordToRI
Ruha Benjamin, Princeton
Bettina Berendt, KU Leuven
Crofton Black, Bureau of Investigative Journalism
Manuela Bojadzijev, Leuphana University
Rosamunde Elise van Brakel, Vrije Universiteit, Brussels
Ingrid Burrington, artist
Rumman Choudhury, Accenture
Wendy Chun, Simon Fraser
Roderic Crooks, Univ. California, Irvine
Francien Dechesne, University of Leiden
Lina Dencik, Cardiff University
Desiree Fields, Berkeley
Sorelle Friedler, Haverford College
Ryan Gerety, Independent
Brent Hecht, Northwestern/Microsoft
Joris Van Hoboken, Univ. Amsterdam/Free University Brussels
Anna Lauren Hoffman, U. Washington
Lily Hu, Harvard
Ben Hutchinson, Google
Lilly Irani, Univ. California, San Diego
Malavika Jayaram, Singapore Management University
Seny Kamara, Brown
Anne Kaun, Södertön University
Marina Kogan, University of Utah
Joshua Kroll, Berkeley
Manu Luksch, Artist and Filmmaker
Smarika Lulz, Smar KY Inc/Humboldt University
Jedrek Niklas, LSE
Safiya Noble, Univ. California, Los Angeles
Zara Rahman, The Engine Room
Jara Rocha, independent
Hannah Sassaman, Media Mobilizing Project
Andrew Selbst, Data And Society/Univ. California, Los Angeles
Matthias Spielkamp, Algorithm Watch
Carmela Troncoso, EPFL
Berk Ustun, Harvard
Nisheeth Vishnoi, Yale
Zeerak Wassem, Sheffield
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