Calibration workshop

Towards Trustworthy Predictions: Theory and Applications of Calibration for Modern AI

5 May 2026

Tangier, Morocco

About the workshop

This workshop focuses on calibration, the alignment between predicted probabilities and observed frequencies, which is fundamental to reliable decision-making and trust in modern AI systems. Bringing together researchers from machine learning, statistics, theoretical computer science, and applied domains such as medicine and forecasting, the workshop aims to unify perspectives on calibration theory, evaluation, and practice. Through a tutorial, invited talks, contributed posters, and interactive discussions, we seek to foster a shared understanding of calibration and to build a lasting cross-disciplinary community around trustworthy probabilistic prediction.

Call for papers

The primary aim of this workshop is to bring together researchers and practitioners working on calibration across machine learning, statistics, theoretical computer science, and applied domains. We seek to clarify foundational questions, align evaluation practices, and explore the practical implications of calibration for reliable and trustworthy AI systems.

Topics

The potential topics include, but are not limited to:

Foundations of calibration and probabilistic forecasting
Calibration metrics and evaluation methodologies
Proper scoring rules and decision-theoretic perspectives
Calibration in high-dimensional and multiclass settings
Post-hoc and end-to-end calibration methods
Calibration under distribution shift
Calibration for generative models and large language models
Calibration in high-stakes applications (e.g., medicine, forecasting, finance)
Connections between calibration, uncertainty, and trust in AI

Submissions

🚨 Submit to our workshop and win a free registration for AISTATS 2026 🚨
We will offer a free conference registration to the best workshop submission led by a student, don't miss the opportunity to showcase your work and attend the conference for free!

We invite submissions of short papers presenting recent work on calibration. Submissions are accepted through OpenReview.

If your paper about calibration (or a closely related topic) is already accepted at the main AISTATS 2026 conference (congrats 🎉), you can register to present it at our poster session by filling the following form: main conference paper track.

Important dates

Call for contributions: January 12, 2026
Submission deadline: February 20, 2026 (Anywhere on Earth)
Notification of acceptance: Early March 2026
Workshop date: May 5, 2026

Format

Submissions should be formatted using the AISTATS LaTeX style. Papers are limited to 4 pages (excluding references and appendices). The review process will be double-blind. Accepted contributions will be presented as posters during the workshop. If you include an appendix, keep in mind that reviewers might not read it carefully. Your principal idea / contribution should be understandable from the main text.