Why does artificial intelligence discriminate? The Mandarin

#artificialintelligence 

Combating bias and creating more inclusive AI is unlikely to succeed unless developers include those people who have been historically excluded or ignored. Advances in automation, machine learning and artificial intelligence (AI) mean we're on the threshold of discoveries that could change human society irreversibly – for better or worse. From AI that sorts CVs and shortlists job applicants, to facial recognition algorithms, these technologies are bringing new efficiencies and reducing errors in both public and private sector decision making. But, increasingly, many of us are becoming aware of the dangers of bias and discrimination inherent in these technologies. A recent MIT study measuring how the technology works on people of different races and gender found that facial recognition AI was less accurate when classifying the faces of people with darker skin.

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