Ethics and AI

Related lectures (29)

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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 the ethical challenges of artificial intelligence, including explainability, security, singularity, and societal impact.

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

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

Explores the ethical challenges of AI in finance, including biases, market manipulation, and the need for ethical AI models.

Explores advancements in generative AI and reinforcement learning, focusing on their applications, safety, and future research directions.

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

Explores a courtroom debate on whether a robot is guilty of endangering a human life.

Delves into the ethical implications of artificial intelligence and the use of lethal force in autonomous robots.