Call for Papers

Topics

The main focus of this workshop is about identifying and bridging the gaps between ML research and regulatory principles. We encourage paper submissions relevant to (but not limited to) the following topics:

• Theoretical and/or empirical studies to highlight the operational gaps between existing regulations and SOTA ML research;
• Evaluation and auditing frameworks for ensuring that ML models are in compliance with regulatory guidelines;
• Theoretical and/or empirical studies to highlight tensions between different desiderata (e.g., fairness, explainability, privacy) of ML models outlined by various regulatory frameworks;
• Novel algorithmic frameworks to operationalize the right to explanation, the right to privacy, the right to be forgotten, and to ensure fairness and robustness of ML models;
• New regulation challenges posed by emerging large generative models and methods to mitigate them;
• Perspective/position papers that outline open problems and negative results relevant to ML regulation, or flawed research and development practices that misalign with regulatory policies.

Important Dates

All deadlines are due 23:59 PM in GMT time zone.

• Abstract Deadline: Sep 22 Sep 25, 2023
• Submission Deadline: Sep 29 Oct 2, 2023
• Acceptance Notification: Oct 27, 2023

Submission Instruction

This workshop is non-archival. We also welcome relevant findings that have been recently published. The review process is double-blinded. Submissions should be anonymized appropriately.

Abstracts and papers can be submitted through OpenReview.

Format

We welcome both short papers no longer than 4 pages and long papers of up to 9 pages, excluding references and unlimited supplementary materials. Please use the RegML @ NeurIPS 2023 template (neurips_2023.tex, neurips_2023.sty) and submit your paper(s) in PDF format.