Lecture

Engineering Ethics Education: Methods and Effectiveness

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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 consequentialism, deontology, and virtue ethics, highlighting their strengths and challenges in making ethical decisions.

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

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

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

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

Explores the desire for a good life with and for others, discussing the origins of ethics, the common good, and the ethical problem of partiality.

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

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

Introduces the course 'Becoming an Ethical Engineer' at EPFL, emphasizing the importance of ethics education in engineering.

Explores the principles of ethics in engineering, emphasizing the importance of acting ethically and analyzing ethical dilemmas.

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

Covers the marketing plan, implementation, and ethics, using the Ford Pinto case as an example.

Explores the justification behind ethical positions, the role of tradition, and the distinction between ethics and the law.

Covers the methodology for ethical analysis of action sequences and decision-making processes based on evaluating impacts on 'goods at stake'.

Explores the ethical challenges of AI, including data ethics, algorithm ethics, and societal impact.

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

Covers the Ethics and Law of AI, addressing relevant ethical and legal questions and providing insights on AI regulation.

Examines the evolution of work surveillance, ethical implications, and challenges in the 'connected workplace' with modern monitoring technologies.