Dear all,
We are organizing a workshop co-located with LREC 2026 on
Identity Aware NLP. The details are as follows:
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THIRD CALL FOR PAPERS
Ethical and Technical Challenges for Identity-Aware NLP
Workshop at LREC 2026, Palma de Mallorca, Spain, May 11-16,
2026
https://identity-aware-ai.github.io/
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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 NLP community.
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:
Modeling subjective phenomena and disagreement: Personalization
and perspectivist methods that challenge one-size-fits-all
approaches by leveraging disaggregated data and annotator
metadata. Methods that learn from disagreements rather than
forcing consensus that erases unique perspectives.
Auditing and evaluating identity representation: Techniques
to measure how well models represent diverse identities,
diagnose failures in capturing marginalized perspectives, and
assess whether systems treat all identities equitably.
Frameworks for identity-aware performance evaluation beyond
aggregate metrics.
Bias detection and fairness interventions: Methods to
identify when models fail marginalized groups due to
over-generalization, and techniques to mitigate such harms
while preserving model utility.
Identity representation in LLMs: How language models
encode (or erase) diverse identities, embody particular
perspectives, and either reproduce or challenge stereotypes.
Measuring LLMs' capacity for reasoning about identities beyond
majority groups.
Socio-political applications: Modeling polarization,
opinion formation, and deliberation in ways that account for
identity rather than assuming homogeneous populations. How
identity-aware approaches improve accuracy for politically
sensitive tasks.
Methodological foundations from social sciences: Best
practices from psychology and survey science for measuring
identity constructs (values, morals, narratives). Addressing
challenges of using LLMs to model diverse populations while
avoiding erasure through aggregation.
Accountability and responsible development: Ethical
responsibilities when building systems that represent (or
exclude) identities. Making AI development processes
accountable to marginalized communities most affected by
over-generalization.
Identity-aware
and community informed evaluation and auditing:
Community informed bias evaluation and auditing. Human
evaluation of LLMs and other AI systems in an identity-aware
manner.
SUBMISSION TYPES
We welcome the following types of submissions:
* Long papers: 4-8 pages of content (excluding references)
* Short papers: 4-8 pages of content (excluding references)
* Non-archival submissions, student project presentations,
mixed-media submissions
For non-archival submissions, we welcome creative formats
including:
- Art, poetry, music
- Blog posts
- Jupyter notebooks
- Teaching materials
- 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 LREC 2026 formatting guidelines
available at:
https://lrec2026.info/authors-kit/
* Papers must be 4-8 pages in length (excluding references)
* Papers must include ethics and limitations sections
* NO appendices are allowed (initial submission), up to 10
pages camera-ready
* Originality and simultaneous submissions: submissions
must be original, previously unpublished work. If a paper is
submitted to or under consideration at another venue at the
same time, this must be declared at submission time. If
accepted here, it must be withdrawn from other venues; if
accepted elsewhere while under review here, please notify us
promptly.
* Preprints: there is no anonymity period at LREC 2026, so
authors may post preprints at any time; however, the version
submitted for review must still be anonymized
* Language resources (optional): at submission time, authors
may share related language resources with the community;
repository entries are linked to the LRE Map and provide
metadata for the resource
* Submission site:
https://softconf.com/lrec2026/IdentityAwareAI
* Proceedings and presentation: accepted papers will appear in
the workshop proceedings. All accepted papers will be
presented as posters. For remote participants, we will also
organize a lightning round of short virtual presentations to
accompany the posters.
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
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
All deadlines are 11:59 PM AoE (Anywhere on Earth)
* Submission Deadline: February 25, 2026 (extension)
* Notification of Acceptance: March 25, 2026
* Camera-Ready Deadline: March 30, 2026
* Workshop Date: May 16, 2026
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 2026 to contribute to this
important conversation!