AI Ethics and Justice

Related lectures (32)

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Examines historical information revolutions, ethical data concerns, automation impact, and AI ethics.

Explores data bias, fairness, and justice in AI systems, highlighting the ethical challenges and considerations involved.

Explores advancements in generative AI and reinforcement learning, focusing on their applications, safety, and future research directions.

Explores the legal framework of AI ethics, including the interpretation of laws, sources of legal norms, and the prohibition of harmful AI practices.

Explores the definition of intelligence in AI and humans, the role of communication and emotion, and ethical considerations in AI regulation.

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

Explores AI ethics, addressing bias, responsibility, and accountability in algorithm design and outcomes.

Explores the EU regulations on AI ethics, emphasizing the AI Act's impact on internal markets, fundamental rights, and fair competition.

Explores ethical dilemmas faced by a machine designed to ensure survival.

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