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Lecture
AI & Ethics: Business Impact
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Related lectures (32)
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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.
