Race, Power and Algorithms: Critical Race Theory and AI
By Alkab
Categories: Critical Theory and AI
About Course
Critical Race Theory is not a political slogan. It is a rigorous academic framework developed by legal scholars to understand how race and racism are embedded in institutions, laws, and systems, not merely in individual attitudes. Applied to artificial intelligence, CRT offers one of the most powerful lenses available for understanding why AI systems so frequently harm people of colour, and why those harms are so rarely acknowledged or remedied. This course introduces CRT’s core concepts and applies each one to contemporary AI challenges, from facial recognition failures to predictive policing, from biased hiring algorithms to discriminatory credit scoring.
What Will You Learn?
- The core concepts of Critical Race Theory and their academic origins. How to apply a CRT lens to racial bias in AI systems and datasets. Analysis of specific cases including facial recognition, predictive policing, and hiring algorithms. How to evaluate proposed solutions to AI bias in light of CRT's insights.
Course Content
Course Overview
Understanding Critical Race Theory
CRT Applied to AI Systems
From Analysis to Action
Course Summary
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