Lectures related to AI & Ethics: Business Impact

Machine Learning in Human Rights: Case Studies and Considerations

Delves into the application of machine learning in human rights investigations, emphasizing transparency, trust, and ethical considerations.

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.

The Human Body and Legal Rights

Explores legal and ethical aspects of the human body, detached parts, and organ harvesting, including ownership and research implications.

Ethics in Natural Language Processing: Addressing Bias and Misinformation

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

AI Ethics: Trustworthy AI and Ethical Principles

Discusses trustworthy AI, ethical principles, and US AI regulation.

Ethics and Law of AI

Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.

Ethical Considerations in Natural Language Processing

Explores ethical challenges in NLP systems, including biases, toxicity, privacy, and disinformation.

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.

Law and Ethics in Life Sciences

Explores legal and ethical aspects of the human body, including ownership, rights, and regulations on biological material.

Ethics in Artificial Intelligence: Key Considerations

Discusses the ethical implications of artificial intelligence for engineers and its regulatory context.

Ethics of AI: Data, Algorithms, and Integration

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

Ethics and Law of AI

Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.

Privacy: Threat Modeling and Differential Privacy

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

Framing and Narratives: Ethical Considerations in AI

Addresses the significance of framing and narratives in AI ethics and their impact on technology development and societal perceptions.

Ethics and Law of AI

Covers the Ethics and Law of AI, addressing relevant ethical and legal questions and providing insights on AI regulation.

Ethics in Technology: Understanding AI Implications

Covers the ethical implications of artificial intelligence in technology, focusing on data, algorithms, design, sustainability, and accountability.

Désanonymisation: Risks and Techniques

Explores risks and techniques in de-anonymizing data, including flaws in methods and real-world examples of failed attempts.

Data Ethics: Al & Equality

Explores data ethics, focusing on fairness, justice, and Al systems' broader implications.

Data Privacy in eHealth Research

Explores data privacy challenges and perspectives in eHealth research, focusing on GDPR compliance, sensitive health data management, and decentralized agents.

Privacy Technologies and Data Protection

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