We encourage paper submissions relevant to (but not limited to) the following topics:

  • Insights from comparing AI behavior with human behavior.
  • Game theoretical approaches to human-AI interaction.
  • Empirical or theoretical analysis on the objectives, utilities, and rationality of AI.
  • New developments in aligning LLMs with diverse human behaviors, preferences, and objectives.
  • New experimental designs and measurements for AI behavioral science research.
  • Applications of AI to investigating human behaviors, including but not limited to economics, psychology, sociology, education, healthcare, and future of work.
  • Ethics of AI behavioral science, including but not limited to studies that promote fairness, diversity, and representation, benefiting individuals, groups, and society at large.

Submission

The workshop welcomes submissions describing original research findings as well as relevant studies that are published recently in high-quality venues.

  • Previously unpublished manuscripts should be submitted as a PDF file in no longer than 4 pages (plus unlimited pages for references and appendices), according to the new ACM format published in ACM guidelines, selecting the generic “sigconf” sample (see the guideline of KDD 2024). Appendices should be included in the same file with the main manuscript.
  • Manuscripts that have been published (including publically available preprints) can be submitted in its original format and will be lightly reviewed.
  • All submissions should be made through https://easychair.org/conferences/?conf=aibs2024.

Important Dates

All deadlines are 11:59PM Anywhere on Earth (AoE).

  • Submission deadline: June 17, 2024
  • Acceptance notification: July 10, 2024
  • Workshop: August 25, 2024

Publication

This workshop is non-archival. Relevant findings that have been published recently are welcome to be submitted to the workshop. For already published studies (including preprints), the paper can be submitted in the original format. Already peer-reviewed submissions will be lightly reviewed for their relevance to this workshop.