Managing the risks of inevitably biased visual artificial intelligence systems

Datasets aren’t simply raw materials to feed algorithms, but are political interventions. As such, much of the discussion around 'bias' in AI systems misses the mark: there is no 'neutral,' 'natural,' or 'apolitical' vantage point that training data can be built upon. There is no easy technical 'fix' by shifting demographics, deleting offensive ter... See more

sensationalist headlines conjuring fears of a techno-dystopian near-future overshadow more material issues over AI ethics that already exist – including how they reflect human biases, and the many ways in which they’re capable of manipulating users.

"Humans have a well-documented tendency, called automation bias, to accept an algorithm’s recommendations even if it contradicts their own expertise, he said. This bias could cause doctors to be less critical while reviewing A.I.-generated drafts, potentially allowing dangerous errors to reach patients."

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