Workshop on Explainability in Information Retrieval

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 4164–4167

Abstract

As models grow more complex and societal demands for transparency increase with emerging regulations, explainability has become an even more important research area. However, despite its recognized relevance, explainability research in IR has seen slower progress than in related fields. This full day workshop aims to advance research in explainable information retrieval by providing a more in-depth platform to reflect on recent developments and facilitate discussions to address new and persistent challenges. Our goal is to bring together a diverse group of researchers to build a shared understanding of key tasks and challenges that will lay the foundation for the future of explainable IR research.

Authors 5

1. Maria Heuss

   University of Amsterdam

   Affiliation as printed

   University of Amsterdam, Amsterdam, Netherlands

2. Catherine Chen

   Brown University

   Affiliation as printed

   Brown University, Providence, RI, USA

3. Avishek Anand

   Delft University of Technology

   Affiliation as printed

   Delft Institute of Technology, Delft, Netherlands

4. Carsten Eickhoff

   University of Tübingen

   Affiliation as printed

   University of Tübingen, Tübingen, Germany

5. Suzan Verberne Aachen Leiden Institute of Advanced Computer Science

   Leiden University

   Affiliation as printed

   Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Leiden, Netherlands