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Automated Inference on Criminality Using Face Images

Yannic Kilcher via YouTube

Overview

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Explore a critical analysis of a controversial research paper attempting to classify criminals based solely on facial images. Delve into the flaws of the study, examining its methodology, dataset, and conclusions. Learn about the ethical implications and potential biases in using facial recognition for criminality prediction. Gain insights into proper research practices and the importance of critically evaluating scientific claims, especially in sensitive areas like criminal justice and artificial intelligence.

Syllabus

Intro
Controversy
Paper
Aristotle
Noncriminals
Dataset
Examples
Crossvalidation
Validation
Face Clustering
Kmeans clustering
Conclusion

Taught by

Yannic Kilcher

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