Design Methods for Artificial Intelligence Fairness and Transparency

Stumpf, S. , Strappelli, L., Ahmed, S., Nakao, Y., Naseer, A., Gamba, G. D. and Regoli, D. (2021) Design Methods for Artificial Intelligence Fairness and Transparency. In: ACM IUI 2021 Workshops, 13-17 Apr 2021,

Abstract

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.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Stumpf, Dr Simone
• Authors: Stumpf, S., Strappelli, L., Ahmed, S., Nakao, Y., Naseer, A., Gamba, G. D., and Regoli, D.
• College/School: College of Science and Engineering > School of Computing Science
• ISSN: 1613-0073
• Copyright Holders: Copyright © 2021 The Authors
• First Published: First published in Proceedings of the ACM IUI 2021 Workshops
• Publisher Policy: Reproduced under a Creative Commons License