Courses - Fall 2023
CMSC848I
Selected Topics in Information Processing; Trustworthy Machine Learning
Credits:
3
Grad Meth:
Reg, Aud
Cross-listed with PHIL688F. 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
/
Phone:
301.405.1000
Copyright
© 2024 University of Maryland
/
Privacy /
Web Accessibility
Contact us
with comments, questions and feedback
/