Ethics of AI

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Related lectures (31)

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Ethics and Law of AI

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

Ethics of Engineering: Introduction

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

Cost-Benefit Analysis: Decision Making and Ethics

Explores cost-benefit analysis in decision-making, emphasizing ethical considerations and societal values.

Bias in Machine Learning

Delves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.

Ethics in Artificial Intelligence: Key Considerations

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

Challenges for Self-Driving Cars

Explores the challenges of autonomous vehicles, including safety, regulations, ethics, and societal impact.

Autonomy and Responsibility

Explores the concepts of autonomy and responsibility, emphasizing the conditions for moral accountability and the role of emotions in decision-making.

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: Concepts and Case Studies

Explores fundamental concepts of ethics, ethical dilemmas, and real-world case studies.

Ethics in Technology: Understanding AI Implications

Covers the ethical implications of artificial intelligence in technology, focusing on data, algorithms, design, sustainability, and accountability.