Lectures related to AI Ethics: Trustworthy AI and Ethical Principles

Explores legal and ethical aspects of AI, focusing on autonomy, responsibility, and societal impact.

Global Data Justice: Social Justice Approach to Data Governance

Explores global data justice, social fairness in data governance, algorithmic ethics, and the political responsibility of researchers.

Regulation & Policies: Demystifying the EU AI Act

Explores the EU AI Act, covering essential requirements and high-risk systems.

Ethics in Natural Language Processing: Addressing Bias and Misinformation

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

Privacy Technologies and Data Protection

Explores privacy technologies, data protection, surveillance risks, and Privacy Enhancing Technologies for social and institutional privacy.

Privacy: Threat Modeling and Differential Privacy

Explores the significance of privacy, risks of targeted advertising, and the concept of differential privacy.

Privacy technologies and data protection

Explores privacy importance, PETS, anti-surveillance technologies, and the SwissCovid case study.

AI & Ethics: Business Impact

Delves into the business impact of AI, ethical challenges, and consumer trust in technology.

Legal Status of Human Body and Detached Parts

Explores the legal status of the human body and detached parts, focusing on personhood, property rights, and ethical considerations.

Legal Aspects: Data Protection and Privacy

Explores Swiss legal framework on data protection, privacy, cybercrimes, and the role of the Federal Data Protection Commissioner.

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.