All Stories

  1. EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders

    Article • Proceedings of the ACM on Human-Computer Interaction, May 2025, ACM (Association for Computing Machinery)

    Simone Stumpf, Yuri Nakao

  2. The Need for User-centred Assessment of AI Fairness and Correctness

    Article • June 2024, ACM (Association for Computing Machinery)

    Simone Stumpf, Yuri Nakao, Takuya Yokota

  3. Lay User Involvement in Developing Human-centric Responsible AI Systems: When and How?

    Article • ACM Journal on Responsible Computing, June 2024, ACM (Association for Computing Machinery)

    Yuri Nakao, Simone Stumpf

  4. Helping people without an AI background to investigate fairness in AI decisions

    Article • ACM Transactions on Interactive Intelligent Systems, July 2022, ACM (Association for Computing Machinery)

    Simone Stumpf, Yuri Nakao

  5. Toward a decision process of the best machine learning model for multi-stakeholders: a crowdsourcing survey method

    Article • July 2022, ACM (Association for Computing Machinery)

    Yuri Nakao, Takuya Yokota

  6. Use of Machine Learning by Non-Expert DHH People: Technological Understanding and Sound Perception

    Article • October 2020, ACM (Association for Computing Machinery)

    Yuri Nakao

  7. Investigating audio data visualization for interactive sound recognition

    Article • March 2020, ACM (Association for Computing Machinery)

    Yuri Nakao