Ethical Engineering: Introduction

Related lectures (32)

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Delves into using art improvisation techniques in teaching mechanical engineering design.

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

Discusses the final phase of the GPS project, report writing, result analysis, and data repeatability.

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

Explores ethical integration in action, the common good, justice, and a major automotive scandal.

Explores ethical challenges in engineering, focusing on ownership, freedom, labor, and the ethics of virtues.

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

Covers ethical considerations in NLP, focusing on bias, toxicity, and misinformation.

Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.

Explores engineering multi-scale systems for various sectors and showcases advancements in electronics design.