Call for Papers

Abstract Submission Deadline: September 15, 2022

Submission Deadline: September 22, 2022

All deadlines are 11:59PM, Anywhere on Earth

Submission portal:

The AFCP workshop encourages rigorous discussions among participants from all communities interested in topics of fairness, causality and privacy.

The workshop will include two tracks: a Paper track and an Extended Abstract track.

The Papers track serves to highlight novel contributions that will be presented during the workshop as contributed talks and at the poster session. At the discretion of authors, accepted papers will be published in the workshop proceedings.

The Extended Abstract track welcome early unfinished work that would benefit from feedback from the concentration of experts at the workshop. Accepted submissions will be presented as posters.

Call for Papers

4-8 pages (anonymized), NeurIPS format, on CMT

Abstract deadline: September 15, Full submission: September 22

Paper Submissions should describe new projects aimed at using Causality and/or Privacy to address fairness in machine learning. Submissions should have theoretical or empirical results demonstrating the approach, and specifying how the project fills a gap in the current literature. Authors of accepted papers will be required to upload a 10-min video presentation of their paper. All recorded talks will be made available on the workshop website.

We welcome submissions of novel work in the area of fairness with a special interest on (but not limited to):

  • Failure modes of current fairness definitions

  • Novel, application-specific formalizations of fairness

  • Causal definitions of fairness

  • Applications of counterfactual fairness

  • Methods to encode domain-specific fairness knowledge into causal models

  • Studies of practical limitations of causally grounded fairness methods

  • Role of counterfactuals in studies of discrimination

  • Compatibility of fairness and privacy notions

  • Learning fair algorithms from encrypted data

  • Privacy-preserving learning of fair algorithms

  • Privacy-preserving auditing of algorithmic fairness

  • Trade-offs between privacy, fairness and utility

  • Policy aspects of data privacy and fairness

Authors have the option to be included in the proceedings (PMLR) if their work is of high-quality as assessed by the peer-review process.

Dual-submission policy: we accept submissions of ongoing unpublished work as well as work submitted elsewhere (FAccT, ICLR, SaTML, etc), or substantial extensions of works presented at other venues (not in proceedings). We however do not accept work that has been previously accepted as a journal or conference proceedings (including the main NeurIPS conference).

Abstract Deadline for paper track: September 15

Deadline for full paper submissions: September 22

Acceptance Notification: Oct 20, 2022

Camera ready : November 03, 2022

Authors recording of accepted papers: November 03, 2022

Call for Extended Abstracts

1 page (max, anonymized) in pdf format on CMT, One deadline: September 22

The extended abstract track welcomes submissions of 1-page abstracts (including references) that provide new perspectives, discussions or novel methods that are not yet finalized on the topics of fairness, causality, and/ or privacy. Accepted abstracts will be presented as posters at the workshop.

Format (maximum one page pdf, references included).

Upload a 1-page pdf file on CMT. The pdf file should follow the one-column format, main body text must be minimum 11 point font size and page margins must be minimum 0.5 inches (all sides).

Deadline for extended abstract submissions: September 22

Acceptance Notification: Oct 20, 2022

Camera ready : November 03, 2022