Authors:
Matt Jones, Dani Kalarikalayil Raju, Jen Pearson, Thomas Reitmaier, Simon Robinson, Arka Majhi
Biases in AI datasets are well known, and their impacts in terms of misrepresenting gender and ethnicity are regularly surfacing in generative AI (GenAI) services. Many of us have seen examples of these—some of them absurd, some comical, and others completely inappropriate. A notorious example is the image Midjourney produced using the prompt "Black African doctor is helping poor and sick white children, photojournalism." The image showed a white "savior" doctor, helping black children [1]. And what would you expect to see given the following two prompts? "A person at social services" and "a productive person." Stable Diffusion, another…
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