Who releases guidelines for multi-modal generative ai in healthcare, resonates with recommendations for other sectors
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Despite these promising uses, LMMs pose risks, including the generation of false, inaccurate or biased statements, which could misguide health decisions, according to WHO. In addition, the
data used to train these models can suffer from quality or bias issues, potentially perpetuating disparities based on race, ethnicity, sex, gender identity or age, the public health experts
noted.