The First Workshop on Information Retrieval for Accountability and Integrity (IRAI 2026)
Attached to ECIR 2026 • March 29th, 2026 • Delft, The Netherlands
Workshop website: https://nlpfin.github.io/sites/ECIR2026.html
Motivation
Information systems shape public discourse, decisions, and trust—yet we lack systematic ways to evaluate the accuracy of forward-looking statements (e.g., campaign promises, corporate forecasts). Media coverage is selective, standards are uneven, and the signal is buried in noise. The result: accountability gaps and eroded confidence.
IRAI brings IR and NLP communities together to design frameworks and tools that retrieve evidence, synthesize signals over time, and assess the fulfillment and reliability of claims and commitments. It complements ECIR’s mission by tackling a pressing, real-world challenge with societal impact.
Focus & Themes
We invite contributions that apply IR/NLP to questions of accountability and integrity, especially in the context of forward-looking or longitudinal statements. Topics of interest include (but are not limited to):
1. Claim/promise retrieval and verification; forecast accuracy estimation
2. Longitudinal & cross-temporal IR; evidence aggregation
3. Corporate, policy, and societal accountability via IR/NLP
4. Datasets, benchmarks, and evaluation protocols
5. Responsible/Trustworthy AI for accountability & integrity
Submission Types
1. Late-breaking papers (up to two pages)
2. Work-in-progress / short papers (up to 6 pages)
3. Template: Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word (to be found at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines)
Important Information (for Late-breaking paper)
* When: March 29th, 2026
* Where: Delft, Netherlands
* Submission Deadline: Feb 25, 2026
* Notification Due: Mar 3, 2026
* Final Version Due: Mar 10, 2026
How to Submit
Details available on the workshop website.
We look forward to your submissions and to building a community around accountability-driven IR & NLP!
Organising Committee
Chung-Chi Chen (AIST, Japan)
Juyeon Kang (3DS Outscale – Dassault Systèmes, France)
Anaïs Lhuissier (3DS Outscale – Dassault Systèmes, France)
Dittaya Wanvarie (Chulalongkorn University, Thailand)
Min-Yuh Day (National Taipei University, Taiwan)
Hiroya Takamura (AIST, Japan)
Yohei Seki (University of Tsukuba, Japan)
Contact: c.c.chen@acm.org (for general enquiries)