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Explainability for Transparent Conversational Information-Seeking

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Explainable AI Courses Recommender Systems Courses User Experience Courses

Course Description

Overview

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Explore the concept of explainability in conversational information-seeking systems through this 14-minute conference talk presented at SIGIR 2024. Delve into the research conducted by Weronika Łajewska, Damiano Spina, Johanne Trippas, and Krisztian Balog on enhancing transparency in search and recommendation systems. Gain insights into the importance of explainable AI in the context of conversational interfaces and learn about potential strategies for improving user trust and understanding in information retrieval processes.

Syllabus

SIGIR 2024 T1.1 [fp] Explainability for Transparent Conversational Information-Seeking


Taught by

Association for Computing Machinery (ACM)

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