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AI-generated images actively shape perceived realities and public perceptions through selective portrayals of individuals, professions, and health conditions.
AI-generated images and large language models wield substantial influence over public perceptions in healthcare, actively shaping perceived realities through selective portrayals.
The Influence of AI-Generated Content in Healthcare The recent advancements in large language models, such as ChatGPT, have initiated significant discussions regarding their capacity to replicate human-like behaviour in the theory of mind tasks and indeed recent study that aimed at evaluating various theory of mind capabilities, including the comprehension of false beliefs and the interpretation of indirect requests found that they exhibit behaviours closely resembling those of human psychological reasoning.1 In the contemporary visual and informational landscape, also artificial intelligence (AI)-generated images have gained prominence, wielding substantial influence over public perceptions. These images, produced by algorithms that analyse extensive data sets to create visual representations, function as both sources of information and powerful communicative tools and actively shape perceived realities through selective portrayals of individuals, professions, and health conditions. This influence is particularly pronounced when such images depict professional roles, health conditions, or social identities.
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Szymański et al. (2025) conducted an editorial in Bias in AI-generated images. AI-generated images was evaluated. AI-generated images actively shape perceived realities and public perceptions through selective portrayals of individuals, professions, and health conditions.
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