Ethics: Three Big Moral Theories

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Ethics and Law of AI

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

Ethical Reflections: Human Good and Moral Prescriptions

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

Ethics and Law of AI

Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.

Ethical Analysis Cycle: Major Normative Theories and Engineering Design

Explores major ethical theories and an engineering design approach to solve moral problems effectively.

Data Ethics: Al & Equality

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

Ethics of Engineering: Kantian Approach

Explores Kantian ethics, virtues, and the common good in engineering decision-making, emphasizing the ethical implications of individual actions on collective well-being.

Global Data Justice: Social Justice Approach to Data Governance

Explores global data justice, social fairness in data governance, algorithmic ethics, and the political responsibility of researchers.

Ethics and Law of AI

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

Ethics in Artificial Intelligence: Key Considerations

Discusses the ethical implications of artificial intelligence for engineers and its regulatory context.

Ethical Argumentation: Justifying Actions

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