Unraveling Techno-Solutionism: How I Fell Out of Love with “Ethical” Machine Learning

At the recent QCon San Francisco conference, Katherine Jarmul gave a talk on unravelling techno-solutionism, in which she explored the inherent bias in AI training datasets, the bias that assumes there will be a technical solution to almost any problem and that those technical solutions will be beneficial for mankind. She posed questions for technologists to consider when building products.

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