AI and Ethics

Related lectures (29)

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Explores the ethical implications and risks of AI, focusing on the Update Al Act and high-risk AI systems.

Explores the ethical implications of deploying machine learning algorithms and emphasizes the importance of fairness in decision-making processes.

Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.

Explores challenges in developing normative news recommender systems and the ethical considerations in AI, journalism, and diversity.

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

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

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

Discusses the ethical implications of artificial intelligence for engineers and its regulatory context.

Explores the development of faster architectures for saliency prediction using deep networks and pruning methods.

Explores the ethical aspects of AI, emphasizing autonomy, responsibility, and accountability in innovation processes.