Can AI Tell Whether You're A Criminal From Your Face? | Machine Learning and Physiognomy

The video discusses the resurgence of pseudosciences like phrenology and physiotomy in modern AI applications, particularly in predicting criminality based on facial features. It critiques the ethical and methodological flaws in such studies, highlighting the dangers of perpetuating biases and stereotypes. The video also examines a controversial preprint claiming high accuracy in criminal prediction using machine learning, which faced significant backlash. It emphasizes the inherent flaws in these studies due to biased datasets and the potential misuse of AI in law enforcement and other areas, urging caution and ethical considerations.

What are the potential consequences of mislabeling images in datasets used for training machine learning models?

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How do biases in data sets affect the outcomes of machine learning models in criminality prediction?

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In what ways can the historical misuse of pseudosciences inform current discussions about AI and ethics?

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