BIG::AI is for Interactive AI

Our research in Interactive AI aims to bridge the gap between artificial intelligence systems and human users by making AI more understandable, explainable, and interactive. We study how users interact with AI-driven systems and develop new approaches for AI to support users in tasks like decision-making, learning, and creativity.

BIG::AI Members

Faculty

BIG::AI Recent Publications

  • Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams

    Vanessa Hanschke, Dylan Rees, Merve Alanyali, David Hopkinson & Paul Marshall
    Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024.

    Summary | Full Version

  • Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

    Amid Ayobi, Jacob Hughes, Christopher Duckworth, Jakub Dylag, Sam James, Paul Marshall, Matthew Guy, Anitha Kumaran, Adriane Chapman, Michael Boniface & Aisling O'Kane
    Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023.

    Summary | Full Version

  • Framing Machine Learning Opportunities for Hypotension Prediction in Perioperative Care: A Socio-technical Perspective: Socio-technical perspectives on hypotension prediction

    Pratik Ghosh, Karen Posner, Stephanie Hyland, Wil Cleve, Melissa Bristow, Dustin Long, Konstantina Palla, Bala Nair, Christine Fong, Ronald Pauldine, Monica Vavilala & Kenton O'Hara
    ACM Trans. Comput.-Hum. Interact., 2023.

    Summary | Full Version

  • Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies

    Amid Ayobi, Katarzyna Stawarz, Dmitri Katz, Paul Marshall, Taku Yamagata, Raul Santos-Rodriguez, Peter Flach & Aisling O'Kane
    Proceedings of the ACM on Human-Computer Interaction, 2021.

    Summary | Full Version

  • Let's Talk About Race: Identity, Chatbots, and AI

    Ari Schlesinger, Kenton O'Hara & Alex Taylor
    Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018.

    Summary | Full Version