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| CS 4160 - AI Policy: Machine Learning, Markets, and Morals |
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Bridges the technical foundations of AI ethics with the emerging landscape of AI policy and regulation. Offers students an opportunity to develop critical intellectual capacities to understand and address ethical and policy challenges in AI development and deployment. Explores multidisciplinary concepts ranging from statistical learning theories and fairness metrics to regulatory frameworks; value-sensitive design; and sectoral policy implications across healthcare, education, labor markets, and democratic institutions.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Computer Science Department Course Attributes: Computer&Info Sci Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: (Undergraduate level CS 3100 Minimum Grade of D- or Undergraduate level DS 3500 Minimum Grade of D-) and (Undergraduate level DS 3000 Minimum Grade of D- or Undergraduate level CIS 250M Minimum Grade of D-) |
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