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What "person" means to GenAI

A great paper about generative AI bias! This one shows what “person” means to generative AI. We can push tech companies to do better!



➤ The paper:


‘Person’ == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion 


By Sourojit Ghosh and Aylin Caliskan


Read it here



➤ Highlights: 


😔Images of "person" tend to be male and white


😔Images of women, especially women of color, tend to be sexualized


Summary (charts by me):







➤ Reflections:


💡Bias in Generative AI can distort reality even in seemingly neutral prompts, such as prompts about “persons”.


💡Human biases may worsen due to increased exposure to distorted representations as generated images flood the internet. 


💡Generative AI can be better. As consumers and buyers, we should demand transparency and accountability to bias performance.


 → Choose your platforms carefully


→ Ask about bias performance in your due diligence


→ Require bias accountability in your contracts



➤What do other people think? Join the conversation in the LinkedIn thread!



Bias in GenAI - Ghosh & Caliskan
.pdf
Download PDF • 849KB


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