What you’ll learn
This course works covers topics in AI and algorithm audit and assurance, including:
Audit, assurance, and assessment
Independence requirements
Audit procedures
Audit evidence
Audit opinions
Audit risk
Documentation
This course is part of a 5-course certification program for AI and Algorithm Auditors. Anyone can take the course and get a certification after an exam and exit interview.
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About the Instructor

Shea Brown is the founder and CEO of BABL AI, a research consultancy that focuses on the ethical use and development of artificial intelligence. His research addresses algorithm auditing and bias in machine learning, and he serves as a ForHumanity Fellow that sets standards for the organizational governance of artificial intelligence.
He has a PhD in Astrophysics from the University of Minnesota and is currently an Associate Professor of Instruction in the Department of Physics & Astronomy at the University of Iowa, where he has been recognized for his teaching excellence from the College of Liberal Arts & Sciences.

Curriculum
Week 1 - Foundations

Differences between audit, assurance, and assessment (7:36)

Goals of algorithm auditing and assurance (7:06)

Types of engagements (11:46)

Independence at BABL AI (6:57)

Subject matter and applicable criteria (11:57)
Week 2 - Applied algorithm audit and assurance

Audit planning and risk assessment (5:37)

Audit procedures, evidence, and materiality in algorithm auditing (14:17)
Quiz - Algorithm Auditing & Assurance

Quiz - Algorithm Auditing & Assurance
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Algorithm Auditing & Assurance
Essential Tools for AI and Algorithm Auditing
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