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Only by developing a deeper understanding of AI systems as they act in the world can we ensure that
Only by developing a deeper understanding of AI systems as they act in the world can we ensure that
Only by developing a deeper understanding of AI systems as they act in the world can we ensure that
Only by developing a deeper understanding of AI systems as they act in the world can we ensure that
Only by developing a deeper understanding of AI systems as they act in the world can we ensure that
Only by developing a deeper understanding of AI systems as they act in the world can we ensure that
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Kate Crawford:
Error-prone or biased artificial-intelligence systems have the potential to taint our social ecosysKate Crawford:
As AI becomes the new infrastructure, flowing invisibly through our daily lives like the water in oKate Crawford:
The fear isn't that big data discriminates. We already know that it does. It's that you don't knowKate Crawford:
We should always be suspicious when machine-learning systems are described as free from bias if it'Kate Crawford:
There is no quick technical fix for a social problem.Kate Crawford:
With big data comes big responsibilities.Kate Crawford:
There's been the emergence of a philosophy that big data is all you need. We would suggest that, acKate Crawford:
Big data sets are never complete.Kate Crawford:
Facebook is not the world.Kate Crawford:
People think 'big data' avoids the problem of discrimination because you are dealing with big data