Bias in Data Science – the Good, the Bad and the Avoidable !?
In recent years, there have been a few prominent examples of accidental bias in machine-learning applications, such as smartphones’ beauty filters (that essentially ended up whitening skin) [1] or Microsoft’s from-innocent-teen-to-racist-in-24-hours chatbot [2,3]. Examples such as these fell victim to inherently biased data being fed into algorithms too complex to allow for much transparency. Hidden bias continues …
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