Publications

Justin D. Norman, Alex Hughes, Michael U. Rivera (2025). Language models should be subject to repeatable,open, domain-contextualized hallucination benchmarking. (ArXiv Pre-Print).

Justin D. Norman, Cedric Deslandes Whitney (2024). Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention. (ACM FAccT).

Justin D. Norman, Hany Farid (2024). An Investigation into the Impact of AI-Powered Image Enhancement on Forensic Biometrics. (CVPR Conference Paper).

Justin D. Norman, Shruti Agarwal, Hany Farid (2023). An Evaluation of Forensic Facial Recognition. (ArXiv Pre-Print).

Justin D. Norman, Peter Skomoroch, Mike Loukides (2021). Product Management for AI. (O’Reilly Media, Inc.).