Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.
Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.
Delves into the Swiss legal framework for animal experimentation, covering constitutional provisions, ethical evaluation, 3Rs principles, licensing procedures, roles and responsibilities, and global challenges.
Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.
Delves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.
Explores consequentialism, deontology, and virtue ethics, highlighting their strengths and challenges in making ethical decisions.
