Call for Papers
Submission Deadline: Sep 12, 2024 AoE
All deadlines are 11:59PM, Anywhere on Earth
Submission portal: https://cmt3.research.microsoft.com/AFME2024
We invite you to submit your research papers to the Workshop on Algorithmic Fairness through the Lens of Metrics and Evaluation (AFME), to be held as part of the Neurips 2024 conference. 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. With the evolving machine learning landscape and the emergence of large generative models, the question is: How will research in algorithmic fairness be refined?
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 welcomes 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
Submission portal: CMT
Submissions to the Paper track should describe new projects aimed at studying algorithmic fairness in light of broad recent advances i.e. large generative models, international regulatory efforts, and new bias evaluation frameworks. 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 have the option to upload a 3-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
- Limitations of existing fairness definitions and evaluation techniques
- Proposals for contextual fairness
- Development of fairness metrics and evaluation techniques for large generative models
- Regulatory compliant use of metrics and evaluation of fairness
- Analysis of regulatory frameworks with respect to fairness metrics and/or evaluation.
- Red-teaming, alignment, safety and other topics related to algorithmic (un)fairness
We also accept broad work on fairness including:
- Fairness metrics and mitigation techniques
- Novel, application-specific formalizations of fairness
- Ethical considerations in deploying fair algorithms in recent contexts
- Methods to ensure fairness in the context of generative models
- Algorithmic approaches to capturing and mitigating evolving biases
- Methods in fairness related subfields (model multiplicity, interpretability, robustness, etc)
Deadlines:
Abstract: Sep 06, 2024 AoE
Full submission: Sep 12, 2024
Acceptance Notification: Oct 09, 2024 AoE
Format:
4-9 pages not including references and appendix.
The impact statement and checklist are optional and do not count towards the page limit.
Please use \documentclass{article} and \usepackage{neurips_2024} (with the numbered rows) from the NeurIPS latex template and change the footnote to reflect the name of the workshop.
You can upload supplementary files
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). Work that is presented at the main NeurIPS conference should not appear in a workshop.
Call for Extended Abstracts
1 page (max, anonymized) in pdf format
Submission portal: CMT
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, fairness metrics, regulations of large generative models, and/ or fairness in generative models. Accepted abstracts will be presented as posters at the workshop.
Deadline: Sep 12, 2024 AOE
Acceptance Notification: Oct 09, 2024 AoE
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).