We are inviting submissions for the NeurIPS Workshop on Algorithmic Fairness through the Lens of Time, to be held on December 15, 2023.
Theme and Scope
This workshop aims to deeply investigate how to address fairness concerns in settings where learning occurs sequentially or in evolving environments. Key areas of exploration include but are not limited to:
Dynamic Interplay: Understanding how static fairness constraints can affect dynamical systems and possibly perpetuate biases.
Generative Models: Assessing and mitigating biases in the rise of powerful, large generative models and understanding fairness within a long-term perspective.
Method Reconciliation: Reconciling existing fairness techniques (preprocessing, in-processing, and post-processing) with the development of large generative models.
Bias mitigation: broader work on fairness mitigation, metrics, and failure mode of existing definitions.
We are having both a paper track (4-9 pages) and an extended abstract track (1 page). See the call for papers: https://www.afciworkshop.org/call-for-papers
Abstract registration: Sep 22 (regular papers only)
Submission Deadline: Sep 29
Acceptance Notification: Oct 27