Lectures related to Ethics and Law of AI: Reflections and Challenges

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

Explores the ethical implications of predicting student success using analytics.

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

Covers magnetic fields, Ampère's law, and magnetic dipoles with examples and illustrations.

Delves into the development and implications of autonomous weapons, emphasizing the urgent need for ethical considerations and regulation.

Covers entropy, its definition, and its implications in thermodynamics.

Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.