at Google ScholarTitle data
Schöffer, Jakob ; De-Arteaga, Maria ; Kühl, Niklas:
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making.
2024
Event: ACM CHI Conference on Human Factors in Computing Systems (CHI '24)
, 11.-16.05.2024
, Honolulu, Hawaiʻi.
(Conference item: Conference
,
Speech with paper
)
Abstract in another language
In this work, we study the effects of feature-based explanations on distributive fairness of AI-assisted decisions, specifically focusing on the task of predicting occupations from short textual bios. We also investigate how any effects are mediated by humans' fairness perceptions and their reliance on AI recommendations. Our findings show that explanations influence fairness perceptions, which, in turn, relate to humans' tendency to adhere to AI recommendations. However, we see that such explanations do not enable humans to discern correct and incorrect AI recommendations. Instead, we show that they may affect reliance irrespective of the correctness of AI recommendations. Depending on which features an explanation highlights, this can foster or hinder distributive fairness: when explanations highlight features that are task-irrelevant and evidently associated with the sensitive attribute, this prompts overrides that counter AI recommendations that align with gender stereotypes. Meanwhile, if explanations appear task-relevant, this induces reliance behavior that reinforces stereotype-aligned errors. These results imply that feature-based explanations are not a reliable mechanism to improve distributive fairness.
Further data
| Item Type: | Conference item (Speech with paper) |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence > Chair Business Informatics and Human-Centered Artificial Intelligence - Univ.-Prof. Dr.-Ing. Niklas Kühl Faculties Faculties > Faculty of Law, Business and Economics |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
| Date Deposited: | 06 Mar 2024 12:08 |
| Last Modified: | 10 Jul 2024 11:05 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/88821 |