Workshop on Social Choice and Learning Algorithms (SCaLA-24) at AAMAS 2024

[Marcus Pivato]

Although the following call for papers does not specifically mention AI Ethics or AI Safety, it does mention Explainable ML.  And presumably, papers on applications of Social Choice Theory to AI Ethics/Safety would fall under the scope of the conference.

---------- Forwarded message ---------
From: Nicholas Mattei <nsma...@gmail.com>
Date: Thu, Jan 25, 2024 at 1:55 AM
Subject: 2nd Call for Papers: Workshop on Social Choice and Learning Algorithms (SCaLA-24) at AAMAS 2024

Call for Papers: Workshop on Social Choice and Learning Algorithms at AAMAS 2024

We are delighted to announce that the 1st Workshop on Social Choice and Learning Algorithms (SCaLA-24) will take place at AAMAS 2024 in Auckland, New Zealand, May 6 or 7, 2024. It will feature technical sessions, a keynote speaker, and opportunities to develop collaborations between researchers working in social choice and those working in machine learning.

The website and submission instructions can be found at the following link: https://sites.google.com/view/scala24

The submission deadline is Feb 5, 2024. We encourage submissions of fully developed research projects as well as preliminary explorations of novel ideas. Submissions should include components from both fields of social choice and machine learning (or closely related topics).

Topics of interest include:

• Computational social choice

• Fair Division

• Matching

• Voting theory

• Sortition

• Clustering

• Ensemble learning

• Explainable ML

• Language models

• Learning preferences

• PAC-learning

Examples of interesting connections between these topics include, but are not at all limited to:

• Using machine learning to learn new mechanisms for matching

• Novel uses of social choice for ensemble learning

• Exploring the application of fair division concepts to clustering problems, or vice-versa

• Applying multi-winner voting concepts to multi-class classification tasks

Organizing Committee

Ben Armstrong

Roy Fairstein

Nick Mattei

Zoi Terzopoulou

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Nicholas Mattei

Assistant Professor, Tulane University

nsma...@tulane.edu | www.nickmattei.net

Stanley Thomas Hall | 305B

+1 504 865 5782

Department of Computer Science

Tulane University

6823 St Charles Ave

New Orleans, LA 70118

To unsubscribe from this list, visit: https://lists.duke.edu/sympa/ca/initiate_unsubscribe/comsoc/marcuspivato%40gmail.com

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Marcus Pivato
Centre d'Économie de la Sorbonne

Université Paris 1 Panthéon-Sorbonne

(Marcus...@univ-paris1.fr)
https://marcuspivato.net

[Ben Armstrong]

Yes, we are happy to consider submissions on topics at the general intersection of Social Choice and a variety AI topics. If you're not sure if work is relevant, get in touch with me and I can answer any questions about the workshop.

Thanks for sharing here, Marcus!

-Ben Armstrong

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From: sc...@googlegroups.com <sc...@googlegroups.com> on behalf of Marcus Pivato <marcus...@gmail.com>
Sent: Thursday, January 25, 2024 2:01 AM
To: sc...@googlegroups.com <sc...@googlegroups.com>
Subject: [SC4AI] Workshop on Social Choice and Learning Algorithms (SCaLA-24) at AAMAS 2024

 

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