Machine ethics

Related lectures (31)

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

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

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

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

Explores legal and ethical aspects of AI, focusing on autonomy, responsibility, and societal impact.

Explores the EU AI Act, covering essential requirements and high-risk systems.

Delves into decolonising collections through AI-generated technoheritage and artistic explorations in synthetic image-making.

Explores the ethical implications of AI, emphasizing transparency and accountability in its applications.

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

Explores the importance of global governance in Artificial Intelligence, emphasizing ethical practices, bias issues, and trust in AI technologies.

Explores distributive justice, AI impact on labor markets, and ethical concerns in AI ethics.

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