Generative AI bias can be substantially worse than in society at large. One example: “Women made up a tiny fraction of the images generated for the keyword ‘judge’ — about 3% — when in reality 34% of US judges are women . . . .In the Stable Diffusion results, women were not only underrepresented in high-paying occupations, they were also overrepresented in low-paying ones.” #AI#GenAI#GenerativeAI#LLM#LLMs https://www.bloomberg.com/graphics/2023-generative-ai-bias/
@failedLyndonLaRouchite No idea, sorry. As you know, there are both technical challenges and the need to devote resources toward understanding & mitigating. The latter is also a major issue in an industry moving at breathtaking speed where many are most worried about falling behind. But as I understand it, the technical part is also significant.
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