Lecture
This lecture delves into the ethical considerations surrounding AI, focusing on data bias, fairness, and justice. The instructor discusses the importance of recognizing biases in training datasets, the impact of biases on AI systems, and the ethical implications of data collection and decision-making processes. The lecture emphasizes the need for a critical examination of biases in AI systems and the importance of striving for fairness and justice in the design and deployment of AI technologies.