Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.
Explores machine learning tools in public policy decisions, fairness issues, jobseeker profiling, 'Bob Emploi' evaluation, discrimination, and challenges in public employment services.
Delves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.
Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.
Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.
Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.
Introduces the AI and FX practical course, focusing on weekly readings and discussions on ethical and legal aspects of AI.
Introduces key human rights concepts, explores discrimination, social norms, and the impact of algorithms on rights.
Explores the Ethics of AI, focusing on Corporate Digital Responsibility and the role of government in regulating AI initiatives.
