Ethics and Law of AI

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Ethics and Law of AI

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

Ethics and Law of AI

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

Legal Framework of Animal Experimentation

Delves into the Swiss legal framework for animal experimentation, covering constitutional provisions, ethical evaluation, 3Rs principles, licensing procedures, roles and responsibilities, and global challenges.

Ethics and Fairness in Machine Learning

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

Data Ethics: Al & Equality

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

Ethics in NLP

Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.

Introduction to Law and Ethics in Life Sciences

Introduces the basics of law and ethics in life sciences, focusing on medical devices, animal experimentation, health law, and intellectual property.

Ethics in Natural Language Processing: Addressing Bias and Misinformation

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

Bias in Machine Learning

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

Normative News Recommender Systems

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