The Limitations of Data, Machine Learning and Us
Summary: Two-part keynote on data/ML limits: small data, datification, bias, harm-focused evaluation. Then explores human factors (cognitive biases, pseudoscience, unethical use) and advocates regulation and responsible principles to mitigate harm. (summarized by gpt-5-nano on Feb 09 2026)
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