Responsible AI From the Lens of an Information Retrieval Researcher: A Hands-On Tutorial

While the concept of responsible AI is becoming more and more popular, practitioners and researchers may often struggle to characterize responsible practices in their own work.Using a hands-on approach -where participants are invited to discuss terminology from their own perspectives -this tutorial aims to illustrate the application of responsible practices in Information Retrieval (IR).Using case studies based on existing IR research, the tutorial will explore responsible AI concepts such as positionality, participatory research, fairness, diversity, and ethics.

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Published
2025-03-24
DOI
https://doi.org/10.1145/3698204.3716479
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00

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article

Responsible AI From the Lens of an Information Retrieval Researcher: A Hands-On Tutorial

Damiano Spina
Ethics and Social Impacts of AI
article

Responsible AI From the Lens of an Information Retrieval Researcher: A Hands-On Tutorial

Damiano Spina
article en

Abstract

While the concept of responsible AI is becoming more and more popular, practitioners and researchers may often struggle to characterize responsible practices in their own work.Using a hands-on approach -where participants are invited to discuss terminology from their own perspectives -this tutorial aims to illustrate the application of responsible practices in Information Retrieval (IR).Using case studies based on existing IR research, the tutorial will explore responsible AI concepts such as positionality, participatory research, fairness, diversity, and ethics.

RMIT University (AU)
Australian Research Council
Quality Education
Openalex Percentile: Top 92%
Ethics and Social Impacts of AI
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