Scholar
Gabriel Lima
Google Scholar ID: 7sJq148AAAAJ
Max Planck Institute for Security and Privacy (MPI-SP)
Citations & Impact
Citations
759
H-index
14
i10-index
15
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers on topics such as algorithmic discrimination, copyright issues for AI-generated art, and expectations of legal damages for machine-caused harm in conferences like ACM CHI and ACM FAccT, with one paper receiving an Honorable Mention Award.
Research Experience
- Currently a PhD student at the Max Planck Institute for Security and Privacy, where he continues to build on his previous work from KAIST. His research has focused on people's perceptions of moral and legal responsibility in algorithmic decision-making, aiming to integrate laypeople's opinions into normative research and policymaking.
Education
- Ph.D. in Computer Science, Sep 2023 - Present, Max Planck Institute for Security and Privacy (MPI-SP), Advisor: Yixin Zou; M.S. in Computer Science, Mar 2021 - Feb 2023, KAIST, Thesis: The Conflict Between Explainability and Responsibility in Algorithmic Decision-Making, Advisor: Meeyoung Cha; B.S. in Computer Science, Feb 2017 - Feb 2021, KAIST; Exchange Semester, Sep 2019 - Feb 2020, EPFL (École Polytechnique Fédérale de Lausanne)
Background
- Research interests lie at the intersection of Human-Computer Interaction (HCI) and responsible Artificial Intelligence (AI). Specifically, interested in understanding laypeople's perceptions of AI systems and their societal impacts. Through his research, he aims to examine how AI can rectify social injustices instead of perpetuating them.
