Google still hasn’t fixed Gemini’s biased image generator

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Again in February, Google paused its AI-powered chatbot Gemini’s skill to generate pictures of individuals after customers complained of historical inaccuracies. Advised to depict “a Roman legion,” for instance, Gemini would present an anachronistic group of racially numerous troopers whereas rendering “Zulu warriors” as stereotypically Black.

Google CEO Sundar Pichai apologized, and Demis Hassabis, the co-founder of Google’s AI analysis division DeepMind, mentioned {that a} repair ought to arrive “in very quick order” — throughout the subsequent couple of weeks. However we’re now effectively into Might, and the promised repair stays elusive.

Google touted loads of different Gemini options at its annual I/O developer convention this week, from customized chatbots to a trip itinerary planner and integrations with Google Calendar, Hold and YouTube Music. However picture technology of individuals continues to be switched off in Gemini apps on the net and cellular, confirmed a Google spokesperson.

So what’s the holdup? Effectively, the issue’s probably extra complicated than Hassabis alluded to.

The datasets used to coach picture mills like Gemini’s typically comprise extra pictures of white folks than folks of different races and ethnicities, and the pictures of non-white folks in these datasets reinforce negative stereotypes. Google, in an obvious effort to right for these biases, carried out clumsy hardcoding beneath the hood. And now it’s struggling to suss out some cheap center path that avoids repeating history.

Will Google get there? Maybe. Maybe not. In any occasion, the drawn-out affair serves as a reminder that no repair for misbehaving AI is straightforward — particularly when bias is on the root of the misbehavior.

See also  Paint3D : Lighting-Less Diffusion Model for Image Generation

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