Hi! My name is Gabriel Lima. I am currently a Doctoral Researcher (i.e., PhD Candidate) at the Max Planck Institute for Security and Privacy (MPI-SP), where I work alongside Yixin Zou. Before joining MPI-SP, I obtained my BSc and MSc from KAIST, where I worked with Meeyoung Cha.
I am a human-computer interaction (HCI) researcher interested in responsible, human-centered artificial intelligence (AI). Through my work, I seek to embed the public’s perceptions and opinions of consequential AI systems into debates concerning their real-world ethical, social, and legal implications. My overarching objective is to ensure that the development and governance of AI reflect the values, expectations, and opinions of the people who use and are affected by these systems.
My work primarily focuses on three interconnected directions:
- Examining people’s expectations and opinions of high-risk AI systems to inform real-world ethical, social, and legal debates surrounding AI [CHI 2026a, CHI 2025a, Cambridge 2025, FAccT 2023, EAAMO 2022, CHI 2021, Frontiers 2021a];
- Experimentally investigating how the predominant debates on AI—and different perspectives about them—shape the public’s perceptions [CHI 2025b, CHI 2023, Frontiers 2021b, CSCW 2020] ;
- Analyzing the predominant perspectives on the ethical, social, and legal questions raised by AI, as well as the solutions put forward to address them [CHI 2026b, CSCW 2025, FAccT 2022].
My research employs quantitative, qualitative, and computational methods to capture and make sense of narratives about AI and people’s perceptions and opinions. My approach to research is highly interdisciplinary. I have collaborated with scholars from psychology, law, sociology, communication, and other disciplines, always aiming to bring different disciplinary perspectives together.
You can always reach me via email: firstname.lastname@mpi-sp.org
Selected Recent Publications
- Gabriel Lima, Gustavo Gil Gasiola, Frederike Zufall, Yixin Zou
Do Citizens Agree with the EU AI Act? Public Perspectives on Risk and Regulation of AI Systems
@ACM CHI 2026
(To Appear) - Gabriel Lima, Nina Grgić-Hlača, Markus Langer, Yixin Zou
Lay Perceptions of Algorithmic Discrimination in the Context of Systemic Injustice
@ACM CHI 2025
Best Paper Honorable Mention
(Paper) - Gabriel Lima, Nina Grgić-Hlača, Elissa Redmiles
Public Opinions About Copyright for AI-Generated Art: The Role of Egocentricity, Competition, and Experience
@ACM CHI 2025
(Paper) - (See all publications)
Selected Honors and Awards
- Best Paper Honorable Mention, ACM CHI 2025
- Diversity and Inclusion Recognition, ACM CSCW 2025
- Outstanding Thesis Award, KAIST School of Computing 2023
- New Horizons Award, ACM EAAMO 2022