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

Submission

We invite submissions of short papers presenting recent work on calibration. Submissions will be handled via OpenReview. The submission link will be announced soon.

Important Dates

Call for contributions: Late January 2026
Submission deadline: Late February 2026
Notification of acceptance: Early March 2026
Workshop Date: 5 May 2026

Format

Submissions should be formatted using the AISTATS LaTeX style. Papers are limited to 4 pages (excluding references). The review process will be double-blind. Accepted contributions will be presented as posters during the workshop.