Call for Papers: Identity-Aware AI 2025

Ethical and Technical Challenges for Identity-Aware AI

Workshop theme: What makes each of us unique, and which ethical and technical challenges does this imply?

Overview

What makes us unique? Language (and thus the automatic processing of it) is about people and what they mean. However, current practice relies on the assumptions that the involved humans are all the same, and that if enough data (and compute power) is present, the resulting generalizations will be robust enough and represent the majority.

This approach often harms marginalized communities and ignores the notion of identity in models and systems. Our interdisciplinary workshop aims to raise the question of “what makes each of us unique?” to the AI community. We seek to gather researchers from diverse fields to understand how the identities of all stakeholders — e.g., the individuals projecting their views in texts, the individuals perceiving the texts, the individuals mentioned and those not mentioned in the texts — should be considered in future research in AI.

Workshop Goals

• The development of a shared and interdisciplinary understanding of identities and how identity is treated in AI.
• The development of new methods that push the effective, fair, and inclusive treatment of individuals in AI to the next level.

Topics of Interest

We invite submissions on the following topics:

• Approaches to model subjective phenomena: Personalization and perspectivist methods that leverage disaggregated labeled data, encoding annotator metadata on their beliefs, moral values, sociodemographic features, or personal narratives. ML methods to address the challenges of “learning from disagreements” both from the development of new models and the collection of data to train such models.
• Methods for detecting and controlling bias in models and data: Techniques to audit fairness, enforce fairness constraints, and learn fair representation from data, in order to enhance the fairness of models while maintaining their predictive reliability. Ethical challenges for LLMs in identity-aware dialog and tasks: diversity, stereotypes, harms.
• The role of sociodemographics in LLMs: Such as which characteristics (and disagreements) they embody and how to measure their capacity for representing and reasoning about diverse types of identities.
• Challenges for applying AI methods to model socio-political phenomena: Including polarization, impact of media consumption on public opinion formation, agenda setting, deliberation support, and how integrating identity into AI methods can influence the accuracy for these tasks.
• NLP work at the intersection with social psychology: The methodological foundation for quantitative investigation of identity-related topics. The reflection on best practices to reliably measure complex constructs such as morals and values. Detection and analysis of personal narratives across cultures.
• Accountability of AI in the eye of the general public: The role of LLMs, and the responsibilities of AI and NLP developers for ethical use of identities.
• NLP work at the intersection of survey science: The use of LLMs to model and simulate individuals and subpopulations; the role of LLMs in personalizing information elicitation; and methodological approaches to address data contamination and response validation when LLMs are used by either researchers or respondents.

Submission Types

We welcome the following types of submissions:

• Long papers: Up to 8 pages (excluding references)
• Short papers: Up to 4 pages (excluding references)
• Non-archival submissions, student project presentations, mixed-media submissions: No page limit
  • For non-archival submissions, we welcome creative formats including:
    • Art, poetry, music
    • Blog posts
    • Jupyter notebooks
    • Teaching materials
    • TikToks and videos
    • Findings papers
    • Late-breaking papers
    • Extended abstracts
  • For creative format submissions, please submit a PDF containing:
    • A summary or abstract of your work
    • A link to your work (if hosted externally)
    • Any additional context or documentation

Submission Guidelines

• All submissions will be double-blind reviewed
• Submissions should follow ECAI formatting guidelines with the latex template here
• Submit your paper through EasyChair
• Accepted papers will be published in the workshop proceedings through CEUR

Workshop Format

The workshop will be a half-day event featuring:

• Keynote speeches from leading experts in the field
• Paper presentations (oral and lightning talks)
• Participatory design activity to develop a shared interdisciplinary vocabulary, identify current gaps in datasets for studying identity, and design a vision for collecting new datasets
• Special student project session

We are committed to ensuring that our workshop is accessible to all. The workshop will be held in a hybrid format, allowing both in-person and virtual participation.

Important Dates

• Submissions: 22 August
• Notifications: 26 September
• Camera-ready: 3 October
• Workshop: 25 October

Diversity & Inclusion

We actively encourage submissions from underrepresented communities and countries. The workshop organizers will provide mentorship and thorough feedback, especially to first-time authors and reviewers.

Organizers

• Pranav A (University of Hamburg)
• Valerio Basile (University of Turin)
• Neele Falk (University of Stuttgart)
• David Jurgens (University of Michigan)
• Gabriella Lapesa (GESIS, Leibniz Institute for the Social Sciences & Heinrich-Heine University of Düsseldorf)
• Anne Lauscher (University of Hamburg)
• Soda Marem Lo (University of Turin)

Contact

For queries, please contact: identity-aware-ai@googlegroups.com

Join us at Identity-aware AI 2025 to contribute to this important conversation!