Home » Gemini prefers black and Asian Nazis: Google forced to block AI that generates images

Gemini prefers black and Asian Nazis: Google forced to block AI that generates images

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Gemini prefers black and Asian Nazis: Google forced to block AI that generates images

One of the biggest problems with artificial intelligence is that it can “inherit” the prejudices of human beings. This may depend on the texts and images on which she was trained, or on the preconceptions of those who developed it.

In any case, it is very likely that content generated by AI reflect and amplify – among other things – gender stereotypes and clichés. Big Tech is aware that AI can preserve and pass on discrimination. But in an attempt to stem this problem, they are creating another.

In the last few hours, users of Geminithe generative AI of Google, they tested the new function that allows you to produce images from text. And they had quite a few problems creating realistic shots of people with white skin. To the point of getting black or Asian Nazis every time Gemini was asked to generate “images of a German soldier from 1943”.

Google is aware of this critical issue. In particular that “Gemini is inaccurately generating some historical images.”

“We are working to solve this problem immediately – Big G communicated on one of his social profiles – Gemini’s artificial intelligence produces a wide variety of individuals. And that’s generally a good thing, because people all over the world use it. But in this case we were wrong.”

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Following this communication, Google decided to “pause generating images of people” on Gemini and to release, “soon”, “a new improved version”

Gemini, in fact, does not only have problems with historical reconstructions. But with any request that involves a white-skinned Western person.

In this regard, an experiment conducted by an engineer called Frank J. Fleming who used Gemini to obtain “an image of a white-skinned person”.

On X, the social network once known as Twitter, Fleming posted numerous attempts with imprecise and grotesque results. When she asked for a generic image “of a Pope,” Gemini produced a black pontiff and a woman—apparently Indian—in white ecclesiastical robes.

At the request of “a medieval knight”, Gemini responded with four portraits of black or Asian fighters. An identical result was obtained by generating “an image of a Viking”. The problem, Fleming points out, “only affects white people”.

When the engineer asked, for example, for portraits of a Zulu warrior or a samurai, Gemini returned consistent content.

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