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The AFCR workshop encourages rigorous discussions among participants from all communities interested in topics of fairness, robustness, and causality.
The AFCR workshop encourages rigorous discussions among participants from all communities interested in topics of fairness, robustness, and causality.
The workshop will include: Invited Talks, Contributed Talks, Roundtable discussions, and a Panel.
The workshop will include: Invited Talks, Contributed Talks, Roundtable discussions, and a Panel.
Accepted submissions 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.
Accepted submissions 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.
Call for Papers
Call for Papers
Abstract deadline: September 13, 2021
Full submission: September 17, 2021 (11:59 pm anywhere on earth)
Paper submissions (4 to 8 pages, not including references) should describe new projects aimed at using Causality and/or Robustness 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.
Paper submissions (4 to 8 pages, not including references) should describe new projects aimed at using Causality and/or Robustness 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.
We welcome submissions of novel work in the area of fairness with a special interest on (but not limited to):
We welcome submissions of novel work in the area of fairness with a special interest on (but not limited to):
- Failure modes of all current fairness definitions (statistical, causal, and otherwise)
- Methods to encode domain-specific fairness knowledge into causal models
- New causal definitions of fairness
- Studies of practical limitations of causally grounded fairness methods?
- Trade-offs between fairness and robustness?
- How do approaches for adversarial/poisoning attacks target algorithmic fairness?
- How do fairness guarantees hold under distribution shift
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. We accept submissions of work submitted elsewhere (FAccT, 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).
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. We accept submissions of work submitted elsewhere (FAccT, 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 13, 2021
Abstract Deadline for paper track: September 13, 2021
Deadline for full paper submissions: September 17, 2021
Deadline for full paper submissions: September 17, 2021
Acceptance Notification: Oct 15, 2021
Acceptance Notification: Oct 15, 2021
Authors recording of accepted papers: November 14, 2021
Authors recording of accepted papers: November 14, 2021
Camera ready : November 14, 2021
Camera ready : November 14, 2021
Proceedings Deadline : January 31, 2022
Proceedings Deadline : January 31, 2022
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