Ethics and Law of AI

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Related lectures (31)

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The Ethics of AI: Autonomy and Responsibility

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

Ethics of AI: Data, Algorithms, and Integration

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

Ethics and Law of AI: Reflections and Challenges

Reflects on the challenges of defining intelligence and self-consciousness in the context of AI, exploring ethical implications and the boundaries of artificial entities in society.

Legal Status of Human Body and Detached Parts

Explores the legal status of the human body and detached parts, focusing on personhood, property rights, and ethical considerations.

Ethics in Technology: Understanding AI Implications

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

Law and Ethics in Life Sciences

Explores legal and ethical aspects of the human body, including ownership, rights, and regulations on biological material.

Ethical Argumentation: Justifying Actions

Explores ethical argumentation, emphasizing the duty to justify actions and the hierarchy of goods at stake in ethical dilemmas.

Ethics of AI

Explores the Ethics of AI, focusing on Corporate Digital Responsibility and the role of government in regulating AI initiatives.

Data Ethics: Al & Equality

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

Cost-Benefit Analysis: Decision Making and Ethics

Explores cost-benefit analysis in decision-making, emphasizing ethical considerations and societal values.