Call for Papers

7th AAAI Conference on AI, Ethics, and Society

Submission deadline: May 14, 2024 – 11:59pm AoE
Submission website:
Notification: July 15, 2024
Conference: October 21-23, 2024

Artificial intelligence (AI) is increasingly pervasive, powerful, and contested. While AI has the potential to empower individuals and improve society, the ethical ramifications of AI systems and their impact on human societies requires deep and urgent reflection. International organizations, governments, universities, corporations, and philanthropists have recognized this need to embark on an interdisciplinary investigation to help chart a course through the new territory enabled by AI. Earlier iterations of this conference and others have seen the first fruits of these calls to action, as programs for research have been set out in many fields relevant to AI, Ethics, and Society.

AIES is convened each year by program co-chairs from Computer Science, Law and Policy, the Social Sciences, Ethics and Philosophy. Our goal is to encourage talented scholars in these and related fields to submit their best work related to morality, law, policy, psychology, the other social sciences, and AI. Papers should be tailored for a multi-disciplinary audience without sacrificing excellence. In addition to
the community of scholars who have participated in these discussions from the outset, we want to explicitly welcome disciplinary experts who are newer to this topic, and see ways to break new ground in their own fields by thinking about AI. Recognizing that a multiplicity of perspectives leads to stronger science, the conference organizers actively welcome and encourage people with differing identities, expertise, backgrounds, beliefs, or experiences to participate.

We are interested in any paper that touches on ethical or societal issues of AI technology and crosscuts any of the above fields. The following topics would be of interest, but the list is intended to be illustrative, not exhaustive:

● Trustworthy AI systems
● Governance, regulation, control, safety, and security of AI
● Value alignment and moral decision making
● Interpretability, explainability, and transparency of AI
● Fairness, equity, and equality in AI
● Human-centered AI, human-AI interaction, and human-AI teaming
● Ethical models/frameworks around AI and data

● AI, lawmaking and the judiciary
● AI in public administration, social service provision, and social good
● AI, surveillance, and privacy
● AI, markets and competition
● AI, health, and wellbeing
● AI and creativity, literature and the arts

● AI, democracy and social movements

● Cultural, geopolitical, economic, employment, and other societal impacts of AI
● Environmental costs and climate impacts of AI

Submitted papers may be at most 10 pages (including all figures and tables) in the 2-column style of the AAAI-2024 Author Kit, see Authors may use an unlimited number of pages for non-discursive references. All submissions must be made through the EasyChair link on the conference website. Review will be doubly-anonymized, so authors should remove identifying information from their papers.

Authors may provide an optional ethical considerations statement, researcher positionality statement, and adverse impact statement. These statements may be given on one extra page at the end of the paper before references. This page will not count toward the overall page count. These sections are not meant for the discussion of methodological limitations, which should be addressed in the main paper. Authors can include supplementary materials (e.g., appendices) after references, but reviewers will not be required to read them.

Changes to the author list after the submission deadline are not allowed. At least one author of each accepted paper is required to register for, attend, and present the work at the conference. The proceedings of the conference will be published in the AAAI Digital Library.

NOTICE REGARDING NON-ARCHIVAL, PRIOR AND CONCURRENT SUBMISSIONS: To accommodate the publishing traditions of different fields, authors of accepted papers can provide a one-page abstract for the conference proceedings, along with a URL pointing to the full paper. Authors should guarantee the link be reliable for at least two years. This option is available to accommodate subsequent publication in journals that would not consider results that have been published in preliminary form in a conference proceedings. The review process for such papers is unchanged. They must adhere to the same requirements and be formatted just like papers submitted for archival publication. Regardless of the choice to submit for non-archival or archival publication, papers submitted to AIES are expected to be of publication-ready quality.

Papers submitted to AIES-2024 may not be published in, or accepted for publication at, an archival conference or journal prior to submission to AIES. Papers that are a version of journal submissions currently under review are welcome as long as authors select the non-archival option. We welcome work that appears as a preprint (e.g. arXiv or SSRN). We welcome extensions of previously accepted workshop papers or abstracts with substantial new content if formally published in a Proceedings volume. To maintain anonymity, please do not cite preprints or prior versions.

NOTICE REGARDING THE USE OF LARGE LANGUAGE MODELS: Papers that include text generated from large language models (LLMs) such as ChatGPT are prohibited unless the produced text is presented as a part of the paper’s experimental analysis. Note that this policy does not prohibit authors from using LLMs for editing or polishing author-written text. 

AIES 2024 furthermore follows AAAI policy that any AI system, including generative models, does not satisfy the criteria for authorship of papers published by AAAI and, as such, also cannot be used as a citable source in papers published by AAAI. Authors assume full responsibility for content, including checking for plagiarism and veracity of all text.

Conference program co-chairs:
Marianna Bergamaschi Ganapini (Union College)

Andrea Renda (Centre for European Policy Studies)
Kush R. Varshney (IBM Research)

Please contact with any questions.