Human-centered AI

Developing methods that make machine learning algorithms fair, transparent, accountable, & useful

  • Creating an Explainable Artificial Intelligence Framework to Increase Nurses’ Confidence in an Interhospital Transfer Scenario. In proceedings of the AAAI 2022 Workshop: Trustworthy AI for Healthcare, Virtual, February 2022.
  • An Explainable AI Tool to Support Decision-making in an Emergency Patients Transfer Request Scenario. In proceedings of the Korean Society of Medical Informatics 2021 (KOSMI'21), Yongin, Korea, November 2021.
  • LectYS: A System for Summarizing Lecture Videos on YouTube. In Proceedings of the 26th International Conference on Intelligent User Interfaces (IUI'21). ACM, Zoom, April 2021.
  • DALT: Deep Learning Assisted Labeling Task. In Proceedings of the 2020 Summer Conference of the Korea Multimedia Society (KMMS), Jeju, Koera, August 2020.