INST788B
Special Topics: Collaborative Curation; Trustworthy Machine Learning
Trustworthy ML 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.
Sister Courses: INST788A
Fall 2023
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