[NeurIPS 2024 workshop] Call for Papers for the Algorithmic Fairness through the lens of Metrics and Evaluation workshop at NeurIPS2024

[Awa Dieng]

Dear all,

We are inviting submissions for the 5th NeurIPS Workshop on Algorithmic Fairness through the lens of Metrics and Evaluation (AFME2024), to be held on December 14 or 15, 2024, in Vancouver, Canada.

Theme and Scope

The workshop aims to spark discussions on revisiting algorithmic fairness metrics (typically developed in fair classification) and algorithmic evaluation in light of advances in large language models and international regulation.  Key areas of exploration include but are not limited to:

• Failure modes of current fairness definitions 

• Limitations of existing fairness definitions and evaluation techniques

• Proposals for contextual fairness

• Development of fairness metrics and evaluation techniques for large generative models

• Analysis of regulatory frameworks with respect to fairness metrics and/or evaluation.

• Investigation of regulatory compliant use of metrics and evaluation of fairness

• Red-teaming, alignment, safety and other topics related to algorithmic (un)fairness

We are accepting submission on two tracks: a paper track (4-9 pages) and an extended abstract track (1 page). Dual submissions are accepted. See full call for papers for details: https://www.afciworkshop.org/call-for-papers

Important Dates

• Abstract registration (paper track only): Sep 06 

• Submission Deadline (all tracks): Sep 12 

• Acceptance Notification (all tracks): Oct 9

Call for Reviewers

We are seeking volunteers to serve as reviewers for the submitted papers. If you have expertise in fairness, machine learning, large generative models, or related areas, we invite you to consider joining our review panel via this reviewer self nomination form: https://forms.gle/oernBELkiKf5aGvW6

  

Please feel free to forward this call to interested colleagues and networks. For any inquiries, you may reach out to us at afciwo...@gmail.com.

 

Looking forward to your participation! 

The AFME Team

Awa Dieng (Google DeepMind)

Miriam Rateike (Saarland University)

Jamelle Watson-Daniels (Harvard University)

Golnoosh Farnadi (McGill University, Mila)

Ferdinando Fioretto (University of Virginia)