AI Ethics: Trustworthy AI and Ethical Principles

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Related lectures (32)

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Privacy Protection: Advocacy and Challenges

Explores privacy notions, legislation, and advocacy efforts to protect people's data through systemic change and multi-disciplinary approaches.

Value Tensions in AI: Mitigating Harms and Fostering Benefits

Delves into value tensions in AI ethics, balancing inclusion and privacy.

Privacy Engineering: Mechanisms and Principles

Covers privacy mechanisms, their pros and cons, and their application in various scenarios, emphasizing privacy as a security property and its significance in society.

Introduction to Security and Privacy

Covers the basics of pedagogy, lesson structure, video capsules, and student evaluation.

Cloud and Aggregation: Security and Privacy

Explores cloud computing, data aggregation, security risks, privacy defenses, and data protection techniques.

Privacy Engineering: Strategies and Paradigms

Explores privacy engineering strategies, research paradigms, and real-world examples like the SwissCovid app.

Data Protection Laws in Switzerland

Covers Swiss data protection laws, including the Federal Data Protection Act and the roles defined in the legislation.

Server Security: Threats and Defenses

Explores server security, types of attacks, consequences, and defenses, along with an introduction to blockchains.

Ethics and Law of AI

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

Privacy Enhancing Technologies

Introduces a course on Privacy Enhancing Technologies covering various mechanisms and emphasizing privacy as a security property.