Conference on Fairness, Accountability, and Transparency

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When : 2018-02-23

Where : New York City, USA

Submission Deadline : 2017-10-06

Categories : Data Mining , Machine Learning

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Conference on Fairness, Accountability, and Transparency(FAT* 2018)

Call for Papers:

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.

FAT* welcomes submissions that touch on any of the following topics (broadly construed):

Fairness

Techniques and models for fairness-aware data mining, information retrieval, recommendation, etc.
Formalizations of fairness, bias, discrimination, etc.
Translation of legal and ethical models of fairness into mathematical objectives
User and experimental studies on perceptions of algorithmic bias and unfairness
Design interventions to mitigate biases in systems, or discourage biased behavior from users
Measurement and data collection regarding potential unfairness in systems
Position and policy papers on how to design socially responsible and equitable systems

Accountability

Processes and strategies for developing accountable systems
Methods and tools for ensuring that algorithms comply with fairness policies
Metrics for measuring unfairness and bias in different contexts
Techniques for guaranteeing accountability without necessitating transparency
Techniques for ethical autonomous and A/B testing
Privacy of user data
Position and policy papers on the design and implementation of accountability regimes for systems

Transparency

Interpretability of machine learning models
Generation of explanations for algorithmic outputs
Design strategies for communicating the logic behind algorithmic systems
User and experimental studies on the effectiveness of algorithm transparency techniques
Tools and methodologies for conducting algorithm audits
Empirical results from algorithm audits
Frameworks for conducting ethical and legal algorithm audits

This list of topics is not meant to be all-inclusive. Authors who are unclear about whether their work falls within the purview of the FAT* conference should contact the PC Chairs for clarification.

Paper Submission

Length and Formatting

Submitted papers must be 8-10 pages (including all figures, tables, and references), plus unlimited pages for appendices. Reviewers will not be required to read material in appendices, so authors are encouraged to use them judiciously.

Papers should be formatted using the 2017 ACM Master Article Template. For LaTeX users, choose format=sigconf. This is the typical, two-column proceedings-style template. Authors do not need to include terms, keywords, or other front matter in their submissions. ACM also makes a Word template available; however, authors who wish to eschew the ACM Word template may submit manuscripts in two-column format, with one inch margins, 9 point Times New Roman font. Note that all accepted papers will need to be reformatted to the camera-ready template, which will be announced later.

IMPORTANT DATES:

Paper registration:September 29, 2017
Paper Submission:October 6, 2017
Notification:November 17, 2017
Camera ready:December 17, 2017

User Name : srav
Posted 07-09-2017 on 13:37:55 AEDT

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