Courses - Fall 2023
PHIL688F
Selected Problems in Philosophy; Trustworthy Machine Learning
Credits:
3
Grad Meth:
Reg, Aud
Cross-listed with CMSC848I. Credit only granted for CMSC848I or PHIL688F.
Introduces concepts of trustworthiness in machine learning, drawn from computer science, systems engineering, human-computer interaction, psychology, and philosophy. Trustworthiness topics include robustness, uncertainty, fairness, transparency, values alignment, AI safety, etc.
Introduces concepts of trustworthiness in machine learning, drawn from computer science, systems engineering, human-computer interaction, psychology, and philosophy. Trustworthiness topics include robustness, uncertainty, fairness, transparency, values alignment, AI safety, etc.
Flagship Institution of the University System of Maryland
University of Maryland, College Park, MD 20742, USA
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301.405.1000
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