Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Counterfactual explanations have become a major focus for post-hoc explainability research in recent years, as they seem to provide good algorithmic recourse solutions, people can readily understand them, and they may meet legal regulations (such as GDPR in the EU). However, this large literature has only addressed the use of counterfactual explanations to explain single predictive-instances. Here, we explore a novel use case in which groups of similar instances are explained in a collective fashion using “group counterfactuals” (e.g., to highlight a repeating pattern of illness in a group of patients). Group counterfactuals potentially provide broad explanations covering multiple events/instances. A novel case-based, group-counterfactual algorithm is proposed to generate such explanations and a user study is also reported to test the psychological validity of the algorithm.
Originalsprog | Engelsk |
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Titel | Case-Based Reasoning Research and Development - 32nd International Conference, ICCBR 2024, Proceedings |
Redaktører | Juan A. Recio-Garcia, Mauricio G. Orozco-del-Castillo, Derek Bridge |
Forlag | Springer |
Publikationsdato | 2024 |
Sider | 206-222 |
ISBN (Trykt) | 9783031636455 |
DOI | |
Status | Udgivet - 2024 |
Begivenhed | 32nd International Conference on Case-Based Reasoning, ICCBR 2024 - Merida, Mexico Varighed: 1 jul. 2024 → 4 jul. 2024 |
Konference
Konference | 32nd International Conference on Case-Based Reasoning, ICCBR 2024 |
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Land | Mexico |
By | Merida |
Periode | 01/07/2024 → 04/07/2024 |
Navn | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Vol/bind | 14775 LNAI |
ISSN | 0302-9743 |
Bibliografisk note
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
ID: 399172934