AFST 410 - AI, Deepfakes, Race & Gender

Credits: 4

Artificial intelligence (AI) is the new frontier of racism and sexism. Big Data, the fodder for data mining, data analytics, and predictive programs, conceal racialized biases and gender inequalities as neutral computational bits and mathematical processes. This course examines algorithmic biases of data mining, facial recognition, predictive risk models, and deepfakes on race (communities of color) and gender in America. It explores the damaging real-life consequences on social justice of the racial and gender biases in ai-neural networks. It considers ways that algorithmic literacy can responsibly combat algorithmic oppression. Seniors only. Must have at least two 300 or 400-level AFST courses.