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Lecture
Ethics of AI
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Related lectures (31)
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Ethical Analysis Cycle: Major Normative Theories and Engineering Design
Explores major ethical theories and an engineering design approach to solve moral problems effectively.
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: Three Big Moral Theories
Explores consequentialism, deontology, and virtue ethics, highlighting their strengths and challenges in making ethical decisions.
Engineering Ethics Education: Methods and Effectiveness
Examines ethics education methods, effectiveness, and common case studies in engineering.
Ethics and Law of AI
Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.
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
Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.
Ethical Argumentation: Justifying Actions
Explores ethical argumentation, emphasizing the duty to justify actions and the hierarchy of goods at stake in ethical dilemmas.
Understanding Autonomy
Explores the challenges and distinctions between human and artificial autonomy, touching on ethical implications and the conditions required for true autonomy.
Marketing Plan: Strategy, Implementation, and Ethics
Covers the marketing plan, implementation, and ethics, using the Ford Pinto case as an example.
