Ethics of AI: Update Al Act

Related lectures (30)

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

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

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

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

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

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

Explores stakeholder collaboration and effective communication in integrated risk management.

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

Delves into the potential and ethical challenges of AI technologies, emphasizing responsible research and diverse datasets.

Delves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.