(Over)correcting bias in AI
Last week, Google had some explaining to do after people discovered its Gemini AI tool generated racially diverse Nazis and other inaccuracies in historical image generation depictions. Many people asked themselves how this is possible, but actually, it’s not surprising this happened. Bias in AI is not new, and this was a (poor) attempt of Google to subvert long-standing racial and gender bias problems in AI, resulting in an overcorrection. Why does Google have to (over)correct bias? In this article, we’re discussing where bias in AI comes from and what we can do to correct it.
