Connectionists: CFP: Conference on Fairness, Accountability, and Transparency

[Michael Ekstrand]

Announcing a new Conference on Fairness, Accountability, and Transparency (FAT*)
http://fatconference.org

Paper registration deadline: Sept 29th
Paper submission deadline: Oct 6th
Conference: Feb 23 and 24th at NYU, NYC

FAT* is an international and interdisciplinary peer-reviewed
conference that seeks to publish and present work examining the
fairness, accountability, and transparency of algorithmic systems. The
FAT* conference solicits work from a wide variety of disciplines,
including computer science, statistics, the humanities, and law.  It
intends to bring together the community that has grown through a
number of workshops at other conferences, including FATML at NIPS,
ICML, and KDD; FATREC at RecSys; Ethics in NLP at EACL, Machine
Learning and the Law at NIPS; the Workshop on Data and Algorithmic
Bias at CIKM; the Workshop on Discrimination and Privacy-Aware Data
Mining at ICDM; Workshop on Human Interpretability at ICML; and the
Workshop on Data and Algorithmic Transparency.

To ensure that all submissions to FAT* are reviewed by a knowledgable
and appropriate set of reviewers, the conference is divided into
tracks with separate track chairs:
1. Theory and Security, chaired by Anupam Datta (Carnegie Mellon
University) and Aaron Roth (University of Pennsylvania)
2. Statistics, Machine Learning, Data Mining, NLP, and Computer
Vision, chaired by Alexandra Chouldechova (Carnegie Mellon
University), Been Kim (Google), Dirk Hovy (University of Copenhagen),
and Michael Kearns (University of Pennsylvania)
3. Programming Languages, Databases, and other Systems (Recommender,
Information Retrieval, etc.), chaired by Aws Albarghouthi (University
of Wisconsin - Madison), Michael Ekstrand (Boise State University),
and Gerome Miklau (University of Massachusetts - Amherst)
4. Visualization, Human Computer Interaction, and User Studies,
chaired by Carlos Scheidegger (University of Arizona) and Karrie
Karahalios (UIUC)
5. Measurement and Algorithm Audits, chaired by Christian Sandvig
(University of Michigan) and Arvind Narayanan (Princeton University)
6. Law, Policy, and Social Science, chaired by danah boyd (Microsoft
Research and the Data & Society Research Institute) and Ryan Calo
(University of Washington)

Full details in the Call for Papers: https://fatconference.org/2018/cfp.html

FAT* welcomes full paper submissions that extend previously published
short papers (e.g. from workshops).

-- 
Michael D. Ekstrand — michaelekstrand at boisestate.edu — https://md.ekstrandom.net
Assistant Professor, Dept. of Computer Science, Boise State University
People and Information Research Team (PIReT) — http://coen.boisestate.edu/piret/