The session will explore the societal impact of AI, emphasizing ethical considerations in various applications like hiring, self-driving cars, and facial recognition technology. It will highlight the potential biases in AI systems, the importance of inclusive model design, human oversight, and transparent criteria to mitigate discrimination. Case studies include gender disparity in car crash safety, child welfare screening, and the ethical dilemmas faced by AI in healthcare and law enforcement. The session will underscore that AI’s fairness and equity depend on the motives and regulations set by humans, highlighting the sociological challenges over technical ones.
Date: 24 July 2024
Given by: Dr. Ehsan Hoque
Recording Link: https://videolectures.net/AI_Olympiad_2024_hoque_impact_of_ai/