Gabriel Lima

About Me

I am a computer scientist interested in understanding people’s perception of artificial intelligence (AI) systems and how they will morally and legally affect society. I address these research questions through the lens of moral and legal responsibility, and I investigate the possible conflicts between the regulation and development of machines and the public view of these new technologies. My research aims to study how people perceive the moral agency and patiency of AI systems to embed their opinion in normative research and policymaking.

I’m currently pursuing my MS degree at KAIST, being advised by Prof. Meeyoung Cha. I’m also a student researcher at the Data Science Group of the Institute for Basic Science. I obtained my BS degree in Computer Science from KAIST in 2020. You can access my CV here.

Selected Publications

  1. Gabriel Lima, Jiyoung Han, Meeyoung Cha. Others Are to Blame: A Multi-Faceted View on Whom People Consider Responsible For Online Misinformation. Proceedings of the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). 2022.
  2. Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha. Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 2021. (Paper)
  3. Gabriel Lima, Meeyoung Cha, Chihyung Jeon, Kyung Sin Park. The Conflict Between People’s Urge to Punish AI and Legal Systems. Frontiers in Robotics and AI. 2021. (Paper)
  4. Gabriel Lima, Assem Zhunis, Lev Manovich, Meeyoung Cha. On the Social-Relational Moral Standing of AI: An Empirical Study Using AI-Generated Art. Frontiers in Robotics and AI. 2021. (Paper)
  5. Gabriel Lima, Changyeon Kim, Seungho Ryu, Chihyung Jeon, Meeyoung Cha. Collecting the Public Perception of AI and Robot Rights. Proceedings of the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). 2020. (Paper)

Education

  • KAIST (Korea Advanced Institute of Science and Technology)
    • M.S. in Computer Science, Mar 2021 - Present
    • B.S. in Computer Science, Feb 2017 - Feb 2021
  • EPFL (École Polytechnique Fédérale de Lausanne)
    • Exchange Semester, Sep 2019 - Feb 2020