In a heated Q&A, experts warned that tackling AI bias is a shared responsibility between users and developers, with ongoing lawsuits highlighting the urgency of the issue.

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Dave Gadoo reveals how the biases in AI outputs stem from skewed training data, using shocking examples from geography to gendered colors and even medical imaging.

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Biased datasets are not just a tech issue—they're shaping real-world outcomes, from skewed hiring practices at Amazon to flawed judicial assessments that can impact lives.

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