LatinX in AI
Research Workshop at
ICML 2026
July 7th, 2026 | Seoul, South Korea
COEX Convention & Exhibition Center
This is an official workshop on July 7th 2026 of the LatinX in AI (LXAI) organization at ICML. The event will take place at the COEX Convention & Exhibition Center
The workshop is a one-day event with invited speakers, oral presentations, and posters. The event brings together faculty, graduate students, research scientists, and engineers for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in artificial intelligence and machine learning.
While all presenters will identify primarily as LatinX, everyone is invited to attend.
If you have any questions feel free to contact the workshop chairs at
lxai-icml-26@latinxinai.org
IMPORTANT DATES
*All deadlines are 23:59:59 AoE (UTC-12)
Agenda
TBD
Keynote Speakers
TBD
Call For Papers
LXAI will receive papers in any subject accepted by ICML. At least one of the authors must identify as LatinX. Submissions will be double-blind peer-reviewed (that is, make sure to not reveal your names, institutions, or country anywhere in the document) and should be submitted as a PDF file through OpenReview. All submissions must be in English and strictly follow the format provided by the ICML 2025. Papers using any other format will be desk rejected without review. You can submit your paper to one of two categories:
Extended Abstract: Up to 4 pages, excluding references.
Full Paper: Up to 8 pages long, excluding references. (papers with less than 6 pages might be rejected without review or automatically delegated to the extended abstract category).
The number of pages above includes space taken by figures, tables, and equations. At the authors' discretion, supplementary material can also be uploaded (as a separate PDF document) to OpenReview. However, the paper must be self-contained and the authors must consider that the reviewers do not have to read the supplemental material. In other words, the contributions of the paper must be described in the main text.
Specific ICML topics include, but are not limited to:
General Machine LearningDeep LearningEvaluation (methodology, meta studies, replicability and validity, human-in-the-loop, etc.)Theory of Machine LearningMachine Learning Systems
Optimization
Probabilistic MethodsReinforcement LearningTrustworthy Machine LearningApplication-Driven Machine Learning
Accepted papers will be invited to be included in the Journal of LatinX in AI Research (JLXAIR). Authors of accepted papers may choose between two options:
Archival: The paper will be permanently published in JLXAIR and included in its official records.
Non-archival: The paper will be presented at the LXAI event but not included in the journal’s permanent archive, allowing authors to submit it elsewhere in the future
All accepted papers must be prepared using the official LXAI camera-ready style files:
If you have any questions, please email to lxai-icml-26@latinxinai.org
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