Book chapter
Fairness in Information Access Conceptual Foundations and New Directions
Advances in Information Retrieval, pp 262-265
03 Apr 2025
Abstract
As information access systems have profound impact through their mediation of users’ experiences of information spaces, it is vital to ensure that their benefits, costs, and other impacts are fair: that people have equitable access to information, relevant information results, and opportunities, and are not systematically excluded, underserved, or harmed. Fairness is further a broad and complex topic with many divergent and sometimes competing definitions. This tutorial will provide an introduction to fairness in machine learning and information access, a broad survey of the landscape of fairness and fairness-related harms, and a review of key results and both established and emerging techniques for measuring and improving the fairness of information retrieval technologies.
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Details
- Title
- Fairness in Information Access Conceptual Foundations and New Directions
- Creators
- Michael D. Ekstrand
- Contributors
- Claudia Hauff (Editor)Craig Macdonald (Editor)Dietmar Jannach (Editor)Gabriella Kazai (Editor)Franco Maria Nardini (Editor)Fabio Pinelli (Editor)Fabrizio Silvestri (Editor)Nicola Tonellotto (Editor)
- Publication Details
- Advances in Information Retrieval, pp 262-265
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-105006548459
- Other Identifier
- 991022043273204721