Data Issues in ResearchExplores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
Introduction to Human RightsIntroduces key human rights concepts, explores discrimination, social norms, and the impact of algorithms on rights.
Ethics in NLPDiscusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.
Bias in Machine LearningDelves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.
AI and FX Practical CourseIntroduces the AI and FX practical course, focusing on weekly readings and discussions on ethical and legal aspects of AI.
Ethics and Law of AIExplores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.
Introduction to Data ScienceIntroduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Global Governance of AIExplores the importance of global governance in Artificial Intelligence, emphasizing ethical practices, bias issues, and trust in AI technologies.
Cognition, Language & EmotionsExplores cognitive biases, emotions, and language evolution, covering memory failures, decision-making heuristics, and the origins of language.