In 2017, society started taking AI bias seriously

A crime-predicting algorithm in Florida falsely labeled black people re-offenders at nearly twice the rate of white people. Google Translate converted the gender-neutral Turkish terms for certain professions into "he is a doctor" and "she is a nurse" in English. A Nikon camera asked its Asian user if someone blinked in the photo -- no one did. From the ridiculous to the chilling, algorithmic bias -- social prejudices embedded in the AIs that play an increasingly large role in society -- has been exposed for years. But it seems in 2017 we reached a tipping point in public awareness.