Scrutinizing where Google's Gemini could have misfired, alongside comparisons with Meta AI's Emu model.
How Generative AI modeling can lead to malfunctions The opinions and discussion here are completely my own, and does not reflect Meta’s or my team’s views at all or any insider or proprietary knowledge. I work in Generative AI division of Meta. Specifically I work in text → image generation for Meta. Our first products were here, and you can try them . When I prompted it to “A family of Germans in 2024” I got the following zoomed in image, but also got 3 other images at the bottom.
Other similar relatively uncontroversial mitigations would be to prevent nudity , not divulge personal information of any individual against their consent, possible IP infringements. But the field of responsible AI goes beyond these, as there is also a goal of not perpetuating "harmful stereotypes”.
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Google pauses Gemini’s ability to generate people after overcorrecting for diversity in historical imagesWill Shanklin has been writing about gadgets, tech and their impact on humanity since 2011. Before joining Engadget, he spent five years creating and leading the mobile technology section for New Atlas. His work has also appeared on SlashGear, TechRadar, Digital Trends, AppleInsider, Android Central, HuffPost and others.
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