Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.
Explores the concepts of autonomy and responsibility, emphasizing the conditions for moral accountability and the role of emotions in decision-making.
Explores ethics, justice, moral agents, principles, planetary justice, climate change, CO2 emissions, and justice distribution.
Explores the ethics of knowledge and actions, emphasizing good thinking as the basis of morality and advocating for a holistic approach to ethical conduct.
Explores the Ethics of AI, focusing on Corporate Digital Responsibility and the role of government in regulating AI initiatives.
Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.
Explores consequentialism, deontology, and virtue ethics, highlighting their strengths and challenges in making ethical decisions.
Explores the ethical challenges of artificial intelligence, including explainability, security, singularity, and societal impact.
Covers the methodology for ethical analysis of action sequences and decision-making processes based on evaluating impacts on 'goods at stake'.
