Haileleol Tibebu
Teaching Assistant Professor
PhD, Artificial intelligence, Loughborough University London
Room 5152, 614 E. Daniel St.
Research focus
Works at the intersection of Responsible AI frameworks, AI policy and governance, algorithmic fairness, privacy and society.
Honors and Awards
- Certificate of Honor, IEEE IAS (2023)
- EPSRC National Productivity Improvement Fund (2019)
- Dean’s Enterprise Award, Loughborough University (2018)
Biography
Haileleol Tibebu is a teaching assistant professor in the School of Information Sciences at the University of Illinois Urbana-Champaign. His research focuses on Responsible AI, AI policy and governance, algorithmic fairness, and the intersection of technology and society. He investigates the impact of AI systems on marginalized communities, develops frameworks for algorithmic accountability, and explores governance models to ensure ethical and equitable AI deployment. His work aims to bridge the gap between AI innovation and responsible policymaking, contributing to the development of fair, transparent, and accountable AI systems in both public and private sectors.
Courses currently teaching
Office hours
By appointment, please contact professor
Publications & Papers
Tibebu, H., & Kakadiaris, I. (2025). System Card+: Responsible AI framework for decision support systems. ITAI 2025. Zenodo.
Tibebu, H., & Kakadiaris, I. (2025). Addressing the intersection of race and gender in AI bias. 13th SAI Computing Conference, London. SSRN.
Tibebu, H., De-Silva, V., Artaud, C., Pina, R., & Shi, X. (2023). Towards interpretable camera and LiDAR data fusion for autonomous ground vehicle localization. Sensors, MDPI. MDPI.
Tibebu, H., Roche, J., De-Silva, V., & Kondoz, A. (2021). LiDAR-based glass detection for improved occupancy grid mapping. Sensors, MDPI. MDPI.
Tibebu, H., Malik, A., & De-Silva, V. (2022). Text-to-image synthesis using stacked conditional variational autoencoders and conditional generative adversarial networks. Science and Information Conference. Springer.