Title data
Deck, Luca ; Schoeffer, Jakob ; De-Arteaga, Maria ; Kühl, Niklas:
A Critical Survey on Fairness Benefits of XAI.
2023
Event: XAI in Action: Past, Present, and Future Applications @ NeurIPS 2023
, 16.12.2023
, New Orleans, Louisiana, USA.
(Conference item: Workshop
,
Speech with paper
)
DOI: https://doi.org/10.48550/arXiv.2310.13007
Abstract in another language
In this critical survey, we analyze typical claims on the relationship between explainable AI (XAI) and fairness to disentangle the multidimensional relationship between these two concepts. Based on a systematic literature review and a subsequent qualitative content analysis, we identify seven archetypal claims from 175 papers on the alleged fairness benefits of XAI. We present crucial caveats with respect to these claims and provide an entry point for future discussions around the potentials and limitations of XAI for specific fairness desiderata. While the literature often suggests XAI to be an enabler for several fairness desiderata, we notice a divide between these desiderata and the capabilities of XAI. We encourage to conceive XAI as one of many tools to approach the multidimensional, sociotechnical challenge of algorithmic fairness and to be more specific about how exactly what kind of XAI method enables whom to address which fairness desideratum.
Further data
Item Type: | Conference item (Speech with paper) |
---|---|
Refereed: | Yes |
Keywords: | Explainable AI; Fairness; Ethical AI; Transparency; Critical Survey; Machine Learning; Automated Decision-Making |
Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems Management > Chair Information Systems Management - Univ.-Prof. Dr.-Ing. Niklas Kühl Faculties Faculties > Faculty of Law, Business and Economics Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems Management |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works 000 Computer Science, information, general works > 004 Computer science |
Date Deposited: | 24 Nov 2023 07:48 |
Last Modified: | 24 Nov 2023 11:00 |
URI: | https://eref.uni-bayreuth.de/id/eprint/87841 |