Ethics in AI: A Deep Dive

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Ethical Argumentation: Justifying Actions

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

Generative AI and Reinforcement Learning: Future Directions

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

Framing and Narratives: Ethical Considerations in AI

Addresses the significance of framing and narratives in AI ethics and their impact on technology development and societal perceptions.

Ethics and Law of AI

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

Ethics and Law of AI: Feedback and Challenges

Discusses student feedback, challenges in balancing laws and ethics, and the need for more critical thinking in AI ethics.

Ethics of AI: Update Al Act

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

Ethics of Engineering: Introduction

Explores the principles of ethics in engineering, emphasizing the importance of acting ethically and analyzing ethical dilemmas.

Information Revolutions

Examines historical information revolutions, ethical data concerns, automation impact, and AI ethics.

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.

AI and Ethics

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