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

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

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 challenges of AI in finance, including biases, market manipulation, and the need for ethical AI models.

Explores the ethical implications of AI development and decision-making, emphasizing normative frameworks and societal values.

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

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

Explores a courtroom debate on whether a robot is guilty of endangering a human life.