Postgraduate research students

Lin Luo

Research title: Interactive machine learning fairness and explanations

Publications

List by: Type | Date

Jump to: 2026 | 2025 | 2024
Number of items: 4.

2026

Di Campli San Vito, P. et al. (2026) Empowering Stakeholders with Participatory Auditing of Predictive AI: Perspectives from End-Users and Decision Subjects without AI Expertise. In: CHI' 2026, Barcelona, Spain, 13–17 April 2026, ISBN 9798400722783 (doi: 10.1145/3772318.3791757)

Luo, Lin ORCID logoORCID: https://orcid.org/0000-0002-0310-3158, Nakao, Yuri, Chollet, Mathieu ORCID logoORCID: https://orcid.org/0000-0001-9858-6844, Inakoshi, Hiroya and Stumpf, Simone ORCID logoORCID: https://orcid.org/0000-0001-6482-1973 (2026) "I think this is fair": Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment. In: ACM CHI Conference on Human Factors in Computing Systems (CHI 2026), Barcelona, Spain, 13–17 April 2026, ISBN 9798400722783 (doi: 10.1145/3772318.3790770)

2025

Luo, Lin ORCID logoORCID: https://orcid.org/0000-0002-0310-3158, Nakao, Yuri, Chollet, Mathieu ORCID logoORCID: https://orcid.org/0000-0001-9858-6844, Inakoshi, Hiroya and Stumpf, Simone ORCID logoORCID: https://orcid.org/0000-0001-6482-1973 (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, (doi: 10.1145/3710908)

2024

Stumpf, Simone ORCID logoORCID: https://orcid.org/0000-0001-6482-1973, Taka, Evdoxia ORCID logoORCID: https://orcid.org/0000-0001-7011-3367, Nakao, Yuri, Luo, Lin ORCID logoORCID: https://orcid.org/0000-0002-0310-3158, Sonoda, Ryosuke and Yokota, Takuya (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)

This list was generated on Wed Apr 29 05:04:41 2026 BST.
Number of items: 4.

Conference Proceedings

Di Campli San Vito, P. et al. (2026) Empowering Stakeholders with Participatory Auditing of Predictive AI: Perspectives from End-Users and Decision Subjects without AI Expertise. In: CHI' 2026, Barcelona, Spain, 13–17 April 2026, ISBN 9798400722783 (doi: 10.1145/3772318.3791757)

Luo, Lin ORCID logoORCID: https://orcid.org/0000-0002-0310-3158, Nakao, Yuri, Chollet, Mathieu ORCID logoORCID: https://orcid.org/0000-0001-9858-6844, Inakoshi, Hiroya and Stumpf, Simone ORCID logoORCID: https://orcid.org/0000-0001-6482-1973 (2026) "I think this is fair": Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment. In: ACM CHI Conference on Human Factors in Computing Systems (CHI 2026), Barcelona, Spain, 13–17 April 2026, ISBN 9798400722783 (doi: 10.1145/3772318.3790770)

Luo, Lin ORCID logoORCID: https://orcid.org/0000-0002-0310-3158, Nakao, Yuri, Chollet, Mathieu ORCID logoORCID: https://orcid.org/0000-0001-9858-6844, Inakoshi, Hiroya and Stumpf, Simone ORCID logoORCID: https://orcid.org/0000-0001-6482-1973 (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, (doi: 10.1145/3710908)

Stumpf, Simone ORCID logoORCID: https://orcid.org/0000-0001-6482-1973, Taka, Evdoxia ORCID logoORCID: https://orcid.org/0000-0001-7011-3367, Nakao, Yuri, Luo, Lin ORCID logoORCID: https://orcid.org/0000-0002-0310-3158, Sonoda, Ryosuke and Yokota, Takuya (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)

This list was generated on Wed Apr 29 05:04:41 2026 BST.