Ethical Analysis Methodology

Related lectures (30)

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Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.

Explores ethical reflections on human good, moral standards, and the importance of collaboration for a good life.

Explores the ethical principles of liberty and equality, discussing their justification and application in society.

Delves into the relationship between ethics and politics, freedom, equality, and the general will in a democratic society.

Explores the Ethics of AI, focusing on Corporate Digital Responsibility and the role of government in regulating AI initiatives.

Explores ethical argumentation, emphasizing the duty to justify actions and the hierarchy of goods at stake in ethical dilemmas.

Explores data ethics, focusing on fairness, justice, and Al systems' broader implications.

Examines ethics education methods, effectiveness, and common case studies in engineering.

Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.

Guides students through reflecting on applying the ethical analysis cycle and understanding ethics education goals.