Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.
Delves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.
Explores the concepts of autonomy and responsibility, emphasizing the conditions for moral accountability and the role of emotions in decision-making.
Explores consequentialism, deontology, and virtue ethics, highlighting their strengths and challenges in making ethical decisions.
Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.
Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.
Explores the challenges and distinctions between human and artificial autonomy, touching on ethical implications and the conditions required for true autonomy.
