AIMS at COLM 2026

Deadlines
NLP/CORE Unranked

AIMS at COLM 2026

First Workshop in AI Measurement Science: Toward Rigorous AI Evaluation - Competition Track

May 21 2027San Francisco, USAOfficial workshop site Site reachable

The AIMS Workshop at COLM 2026 is an inaugural one-day in-person event focused on establishing AI Measurement Science as a rigorous field, addressing fundamental limitations in current AI evaluation paradigms. It brings together researchers from machine learning, statistics, psychometrics, economics, and policy to tackle challenges in measuring interactive, strategically optimized, and non-stationary AI systems.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

August 15, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

August 15, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Research Track Paper

4–8 page papers in COLM format on theory, methodology, or systems related to the three core challenges of AI measurement science.

Competition Track Paper

4–8 page papers in COLM format describing team approaches to the Predictive AI Evaluation Challenge, with methods, results, and lessons learned.

Research areas in scope

01

Research Track

Interactive Measurement: Evaluation of policies, long-horizon behavior, tool-using agents, and statistical validity under non-i.i.d. and path-dependent observationsMeasurement under Strategic Optimization: Evaluation as a game between learner and evaluator; robustness to gaming and contamination; incentive-compatible, private, randomized, or adaptive leaderboardsMeasurement under Non-Stationarity: Covariate, label, and construct drift; adaptive test design, recalibration, and longitudinal monitoring of deployed systems
02

Competition Track

Write-ups from participants of the Predictive AI Evaluation Challenge: methods, results, and lessons learned in predicting model responses from sparse observations

Policies worth checking twice

  • Submissions must be 4–8 pages in COLM format with unlimited references
  • Review is double-blind with at least three reviews per paper
  • Accepted papers are non-archival
  • Submissions must be made via OpenReview
  • Four contributed talks will be selected from accepted submissions

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026

AIMS at COLM 2026: deadlines, venue, and submission guide | COREXA