[PlanetKR] [CFP] [Extended Deadline] ICLR 2026 Workshop - From Human Cognition to AI Reasoning: Models, Methods, and Applications

[Pulkit Verma]

[Apologies for cross-posting]

ICLR 2026 Workshop - From Human Cognition to AI Reasoning: Models, Methods,
and Applications
Rio de Janeiro, Brazil | April 26 or 27, 2026 (Exact date TBD)
Workshop Website <https://hc-air.github.io/hcair26/>


New Submission Deadline: February 05, 2026 (AoE, UTC-12)

The objective of this workshop is to bridge the gap between human cognitive
science and artificial intelligence by bringing together researchers
working on computational models of human cognition, neurosymbolic AI,
human-AI interaction, and cognitively-inspired machine learning. Recent
advances in AI have demonstrated remarkable capabilities, yet these systems
often lack the interpretability, causal reasoning, and generalization
abilities that characterize human intelligence. Meanwhile, cognitive
science has made significant progress in understanding human reasoning,
learning, and decision-making processes. We believe that incorporating
insights from human cognition into AI systems can lead to more robust,
interpretable, and human-aligned artificial intelligence. This workshop
aims to facilitate cross-pollination of ideas between cognitive scientists,
neuroscientists, and AI researchers to develop the next generation of AI
systems that can reason more like humans while maintaining computational
efficiency.

The workshop will focus on research related to all aspects of human
cognition and AI reasoning. This topic features technical problems that are
of interest across multiple fields, including cognitive science, machine
learning, AI planning, human-robot interaction, and neurosymbolic AI. We
welcome submissions that address formal as well as empirical issues on
topics such as:

   -

   Explicit modeling of human knowledge and cognitive capabilities.
   -

   Introducing explicit human models into the reasoning process.
   -

   How AI can model and reason about human mental states and intentions.
   -

   Combining neural and symbolic methods inspired by human cognition.
   -

   Incorporating human causal reasoning patterns into AI systems.
   -

   Using human cognitive models to make AI systems more interpretable.
   -

   Incorporating human teaching and correction into learning processes.
   -

   Structured approaches to human-inspired AI reasoning.
   -

   Probabilistic approaches to human-like reasoning.


INVITED SPEAKERS (TENTATIVE)

Rachid Alami <https://www.laas.fr/en/homepages/rachid/>, LAAS-CNRS, France

Kimberly Lauren Stachenfeld <https://neurokim.com/>, Google DeepMind and
Columbia University, USA
Joshua B Tenenbaum <https://cocosci.mit.edu/josh>, Massachusetts Institute
of Technology, USA
Elmira Yadollahi <https://elmirayadollahi.com/>, Lancaster University, UK

WORKSHOP FORMAT

The workshop will feature invited talks, a selected set of contributed
talks, and discussions. The workshop will be in-person and is scheduled for one
day. ICLR 2026 will be an in-person event this year, and the workshop will
follow the same format as the conference.


SUBMISSION INSTRUCTIONS

Submissions can describe either work in progress or mature work that would
be of interest to researchers working on one or more of the topics
mentioned above. We also welcome “highlights” papers summarizing and
highlighting results from multiple recent papers by the authors, and "blue
sky" papers that propose new ideas and directions for future research.
Please note that the submitted work must not have previously appeared at
any machine learning venue, including the main ICLR conference track.

Submissions of papers being reviewed at other venues (IJCAI, ICML, ICAPS,
ACL, UAI, etc.) are welcome since HCAIR is a non-archival venue and we will
not require a transfer of copyright. If such papers are currently under
blind review, please anonymize the submission.

Two types of papers can be submitted:

   - full papers with the length of up to 9 pages + references
   - short papers with the length between 3 and 5 pages + references


Submissions may use as many pages of appendices (after the references) as
they wish, but the reviewers are not required to read the appendix.
Submissions should use the ICLR 2026 paper format
<https://github.com/ICLR/Master-Template/raw/master/iclr2026.zip>. The
papers should adhere to the ICLR Code of Ethics
<https://iclr.cc/public/CodeOfEthics> and ICLR 2026 policy on using LLMs
for writing
<https://blog.iclr.cc/2025/08/26/policies-on-large-language-model-usage-at-iclr-2026/>
in
their paper. Papers can be submitted via OpenReview at
https://openreview.net/group?id=ICLR.cc/2026/Workshop/HCAIR.

IMPORTANT DATES

   -

   New Paper submission deadline: February 05, 2026 (AoE, 11:59 PM UTC-12)
   -

   Author notification: March 01, 2026
   -

   Camera-ready deadline: March 10, 2026
   -

   Workshop date: April 26 or 27, 2026 (Exact date TBD)


ORGANIZING COMMITTEE

Julie A. Shah <https://interactive.mit.edu/about/people/julie-shah/>,
Massachusetts Institute of Technology, USA

Sarath Sreedharan <https://sarathsreedharan.com/>, Colorado State
University, USA
Silvia Tulli <https://silviatulli.com/>, Sorbonne University, France
Pulkit Verma <https://pulkitverma.net/>, Indian Institute of Technology
Madras, India
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://kr.org/pipermail/planetkr/attachments/20260201/f535d4c7/attachment-0001.htm>