Information Revolutions

Related lectures (30)

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

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

Explores global data justice, social fairness in data governance, algorithmic ethics, and the political responsibility of researchers.

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

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

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

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

Discusses student feedback, challenges in balancing laws and ethics, and the need for more critical thinking in AI ethics.

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

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