Introduces key human rights concepts, explores discrimination, social norms, and the impact of algorithms on rights.
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 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.
