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Lecture
Ethical Issues in AI
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Related lectures (30)
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Ethics: Three Big Moral Theories
Explores consequentialism, deontology, and virtue ethics, highlighting their strengths and challenges in making ethical decisions.
TILT EPFL-UNIL: Interdisciplinary Learning and Teaching
Introduces the TILT course, emphasizing reproducibility, data construction, and ethical considerations in a quantified world.
Machine's Mission
Explores ethical dilemmas faced by a machine designed to ensure survival.
Normative News Recommender Systems
Explores challenges in developing normative news recommender systems and the ethical considerations in AI, journalism, and diversity.
Understanding Intelligence and AI Ethics
Explores the definition of intelligence in AI and humans, the role of communication and emotion, and ethical considerations in AI regulation.
Ethics and Law of AI
Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.
Provably Beneficial AI: Towards Human-level Understanding
Explores provably beneficial AI, aligning AI goals with human preferences and behaviors, illustrating complexities through examples like image classification and fetching coffee.
Ethics and Law of AI
Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.
Ethics of AI: Update Al Act
Explores the ethical implications and risks of AI, focusing on the Update Al Act and high-risk AI systems.
Ethics in Natural Language Processing: Addressing Bias and Misinformation
Covers ethical considerations in NLP, focusing on bias, toxicity, and misinformation.
