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Design Methods for Artificial Intelligence Fairness and Transparency

Stumpf, S. ORCID: 0000-0001-6482-1973, Strappelli, L., Ahmed, S., Nakao, Y., Naseer, A., Gamba, G. D. and Regoli, D. (2021). Design Methods for Artificial Intelligence Fairness and Transparency. Paper presented at the ACM IUI 2021 Workshops, 13-17 Apr 2021, Online.


Fairness and transparency in artificial intelligence (AI) continue to become more prevalent as topics for research, design and development. General principles and guidelines for designing ethical and responsible AI systems have been proposed, yet there is a lack of design methods for these kinds of systems. In this paper, we present CoFAIR, a novel method to design user interfaces for exploring fairness, consisting of series of co-design workshops, and wider evaluation. This method can be readily applied in practice by researchers, designers and developers to create responsible and ethical AI systems.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: ©2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
Publisher Keywords: fairness, transparency, explanations, design, methods
Subjects: B Philosophy. Psychology. Religion > BJ Ethics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
Date available in CRO: 13 Aug 2021 09:53
Date deposited: 13 August 2021
Date of acceptance: 8 March 2021
Date of first online publication: 9 July 2021
Text - Accepted Version
Available under License Creative Commons Attribution.

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