# Trustworthy Machine Learning

## CSCI-4180

This seminar course introduces students with knowledge of machine learning to modern desiderata for trustworthy machine learning, including alignment, fairness, adversarial robustness, privacy, and their interrelations. Students read, present, and discuss seminal and influential recent papers in the field. The course includes a project component aimed at synthesizing the students’ learning.

4 credits
Cross-listed with:
CSCI-6962 Topics in CSCI
Prereqs:
CSCI-2210 Math Fndtns Of Machine Lrning
and
one of:
CSCI-4100 Machine Learning From Data CSCI-4390 Data Mining

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
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| (Session 1) | (Session 2) |
2026 |  |  |

2025

Trustworthy Machine Learning (4c)

- Alex Algernon Theodore Gittens

Seats Taken: 2/30

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