The reproduction of harmful ideas is particularly dangerous now that AI is being tested at scale on millions of people.
Kate Crawford
Algorithmic biases are not only technical failures but often reflect systemic inequities embedded in historical and societal data.
Unknown
If left unchecked, biased algorithms can lead to decisions with disparate impact on certain groups, even without programmer’s intent to discriminate.
Nicol Turner Lee, Paul Resnick…
Fairness is a human, not a mathematical, determination, grounded in shared ethical beliefs.
Unknown
The reliance on AI may create a false sense of objectivity and fairness.
Röösli, Rice, and Hernandez-Bo…
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