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The course aims to guide students through the landscape of safety and security risks inherent to disruptive digital technologies. Both technical and social issues will be discussed. The technical side of the course involves understanding shortcomings, vulnerabilities, and sociopolitical impacts of information, cyber, and machine learning systems to enable robust risk analysis using data-intensive qualitative as well as quantitative methodologies. The social side of the course focuses on values that inform development, use and misuse of disruptive digital technologies such as AI or content dissemination platforms. Methodologies of Digital Anthropology help us understand how we express values through developing technologies and how we allow or disallow amplification of particular values through different uses of technology.
Poslední úprava: Střítecký Vít, doc. PhDr., M.Phil., Ph.D. (23.09.2023)
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The course examination will be based on homework and an exam. Poslední úprava: Střítecký Vít, doc. PhDr., M.Phil., Ph.D. (23.09.2023)
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Horst HA, Miller D (2012) Digital Anthropology. London: Routledge. Masys AJ (2020) Handbook of Security Science. Cham: Springer. Reuter C (2019) Information Technology for Peace and Security. IT Applications and Infrastructures in Conflicts, Crises, War, and Peace. Wiesbaden: Springer Vieweg. Smith C, Brooks DJ (2012) Security Science: The Theory and Practice of Security. Oxford: Butterworth–Heinemann. Poslední úprava: Střítecký Vít, doc. PhDr., M.Phil., Ph.D. (23.09.2023)
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- ML/AI risks, e.g., robustness, alignment, fairness, bias Poslední úprava: Střítecký Vít, doc. PhDr., M.Phil., Ph.D. (23.09.2023)
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