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problems in an innovative, personalised and efficient way, there is also the risk of proposing biased solutions, particularly in terms of gender. in , a study showed that a facial recognition algorithm was % reliable for identifying a man, but its margin of error increased to % for recognising a dark-skinned
problems in an innovative, personalised and efficient way, there is also the risk of proposing biased solutions, particularly in terms of gender. in , a study showed that a facial recognition algorithm was % reliable for identifying a man, but its margin of error increased to % for recognising a dark-skinned...
https://www.orange.com/en/news/2020/March/Artificial-intelligence-its-role-in-trust-and-team-diversity