Ethics in AI: Consequentialism and Categorical Imperative

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Introduction to Engineering Ethics

Introduces engineering ethics, exploring concepts of good, utilitarianism, and Kantian ethics.

Ethics and Law of AI

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

Designing Learning Tools: Introduction

Introduces 'How People Learn: Designing Learning Tools' at EPFL, focusing on emotions, diversity, and ethics in engineering education.

Moral Reasoning & Imagination: Critical Perspectives

Delves into the role of imagination in moral deliberation and ethics modules for students.

Goals of Engineering Ethics Education

Explores key features of engineering ethics and ethical decision-making in real-world engineering dilemmas.

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 Reflections: Human Good and Moral Prescriptions

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

Ethics: Three Big Moral Theories

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

Social and Political Ethics: Arguing and Justifying

Explores the ethical obligation to act for the greater good and ensure equal rights and benefits distribution.

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.