Lin Luo
Research title: Interactive machine learning fairness and explanations
The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Clarity helps us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Research title: Interactive machine learning fairness and explanations
Luo, L. , Nakao, Y., Chollet, M. , Inakoshi, H. and Stumpf, S. (2025) EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders. In: 28th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), Bergen, Norway, 18-22 Oct 2025, (Accepted for Publication)
Stumpf, S. , Taka, E. , Nakao, Y., Luo, L. , Sonoda, R. and Yokota, T. (2024) The Need for User-centred Assessment of AI Fairness and Correctness. In: UMAP '24: 32nd ACM Conference on User Modeling, Adaptation and Personalization, Cagliari, Italy, 01-04 Jul 2024, pp. 523-527. ISBN 9798400704666 (doi: 10.1145/3631700.3664912)
Luo, L. , Nakao, Y., Chollet, M. , Inakoshi, H. and Stumpf, S. (2025) EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders. In: 28th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), Bergen, Norway, 18-22 Oct 2025, (Accepted for Publication)
Stumpf, S. , Taka, E. , Nakao, Y., Luo, L. , Sonoda, R. and Yokota, T. (2024) The Need for User-centred Assessment of AI Fairness and Correctness. In: UMAP '24: 32nd ACM Conference on User Modeling, Adaptation and Personalization, Cagliari, Italy, 01-04 Jul 2024, pp. 523-527. ISBN 9798400704666 (doi: 10.1145/3631700.3664912)