Exploring the Impact of Lay User Feedback for Improving AI Fairness

no code implementations • 13 Dec 2023 • Evdoxia Taka, Yuri Nakao, Ryosuke Sonoda, Takuya Yokota, Lin Luo, Simone Stumpf

Fairness in AI is a growing concern for high-stakes decision making.

Decision Making Fairness

Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness

no code implementations • 1 Jun 2022 • Yuri Nakao, Lorenzo Strappelli, Simone Stumpf, Aisha Naseer, Daniele Regoli, Giulia Del Gamba

In order to create reliable, safe and trustworthy systems through human-centred artificial intelligence (HCAI) design, recent efforts have produced user interfaces (UIs) for AI experts to investigate the fairness of AI models.

Decision Making Fairness

Towards Involving End-users in Interactive Human-in-the-loop AI Fairness

no code implementations • 22 Apr 2022 • Yuri Nakao, Simone Stumpf, Subeida Ahmed, Aisha Naseer, Lorenzo Strappelli

We evaluated the use of this prototype system through an online study.

BIG-bench Machine Learning Explainable Artificial Intelligence (XAI) +1

One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification

no code implementations • 26 Oct 2020 • Kenji Kobayashi, Yuri Nakao

With the widespread adoption of machine learning in the real world, the impact of the discriminatory bias has attracted attention.

BIG-bench Machine Learning Binary Classification +3