Summer Enrollment is Open! Courses begin June 23, 2025.
Trustworthy Machine Learning
COM SCI X 450.44
This course provides a comprehensive foundation in building trustworthy machine learning systems, with emphasis on generative AI applications. Students will develop both theoretical understanding and practical implementation…
Critically evaluate ML systems for trustworthiness
Gain practical experience in security, privacy, and fairness implementations
Design and develop secure, fair, and privacy-preserving ML systems
Evaluate and integrate diverse security models and APIs
Understand and mitigate security issues in Generative AI
About this course:
This course provides a comprehensive foundation in building trustworthy machine learning systems, with emphasis on generative AI applications. Students will develop both theoretical understanding and practical implementation skills across key areas: model reliability, safety, privacy, fairness, and regulatory compliance. Through extensive hands-on assignments and projects, students will implement solutions using industry-standard tools and frameworks.
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