Pandit, Harshvardhan J.
Works: 1 reference
Golpayegani, D., Pandit, H.J. & Lewis, D. (2023). “To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act’s High-Risk AI Applications and Harmonised Standards”. In Association for Computing Machinery (Ed.),
FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 905-915. New York: Association for Computing Machinery. Retrieved June 22, 2025 from https://dl.acm.org/doi/10.1145/3593013
