Second Workshop on Explainability in Information Retrieval
Catherine Chen (Brown University)
Maria Heuss (Universiteit van Amsterdam)
Tanya Chowdhury (University of Massachusetts Amherst)
James Allan (University of Massachusetts Amherst)
Avishek Anand (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Carsten Eickhoff (Eberhard Karls Universität Tübingen)
Suzan Verberne (Universiteit Leiden)
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Abstract
As models grow more complex and societal demands for transparency increase with emerging regulations, explainability has become an increasingly important research area. However, despite its recognized relevance, progress in explainability research in information retrieval (IR) has been slower than in related fields. This full day workshop aims to advance research in explainable IR by providing a more in-depth platform to reflect on recent developments and facilitate discussions across both new and persistent challenges. Building upon the first edition of the workshop, which was a great success in bringing together multiple perspectives on explainability in IR, this second edition will focus on synthesizing a common agenda for the research community. Through a set of interactive activities, the workshop will bring together a diverse group of researchers to build a shared understanding of key tasks and challenges, and to help shape future directions for explainable IR research. The workshop will have as concrete outcomes a roadmap document and a special issue proposal for a journal issue on explainability in IR.