Delves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.
Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.
Explores the concepts of autonomy and responsibility, emphasizing the conditions for moral accountability and the role of emotions in decision-making.
Explores the challenges and distinctions between human and artificial autonomy, touching on ethical implications and the conditions required for true autonomy.
