Graduate Certificate in Trustworthy AI for Decision Making Systems

AI tools are being developed at a blistering pace, deployed into an environment where value maximization precedes regulation. Policymakers, engineers, and technical managers are being asked to make mission-critical decisions about which emerging tools to adopt and how best to deploy them, while balancing concerns about system safety, security, and efficacy. This graduate certificate is designed to give you the tools to make those decisions with confidence, through foundations in machine learning, decision system design, special topics in AI and trust, and a depth or application elective to support unique learning needs.

The following requirements must be fulfilled: 12 credits, including two semesters of a 0-credit course, 9 credits in selected courses, and one 3-credit elective course.

Course List

Code	Title	Credits
Required
Two semesters of one of the following 0-credit courses: *
CSCI 6900	Colloquium
EMSE 6900	Colloquium
One 3-credit course selected from the following: *
CSCI 6907	Special Topics (in Trustworthy AI in Systems)
EMSE 6992	Special Topics (in Trustworthy AI in Systems)
One 3-credit course in data analytics or machine learning selected from the following:
CSCI 6444	Introduction to Big Data and Analytics
EMSE 6575	Applied Machine Learning for Analytics
One 3-credit course in sociotechnical system design selected from the following:
CSCI 6532	Information Policy
EMSE 6001	The Management of Technical Organizations
Elective
One 3-credit course selected with the approval of the academic advisor. Most students will take a course in one of the following areas: machine learning and artificial intelligence; security and privacy; safety and verification; bias and risk; regulation and policy; and interaction with human behavior.

*Students must complete two semesters of CSCI 6900 or EMSE 6900 before they may enroll in CSCI 6907 or EMSE 6992.