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This lecture introduces the AI and FX practical course, where the instructor provides all necessary materials in PDF format for easy access. Students will work with a small book on AI and FX, focusing on weekly readings and short essays. The course covers topics such as autonomy, bias, discrimination, and the ethical and legal aspects of AI. Students will engage in discussions, short papers, and a term paper, aiming to improve their writing and ethical reflection skills. The course emphasizes the importance of choosing and addressing ethical and legal questions related to AI and FX, with a focus on individual work and active participation.