- How human–AI feedback loops alter human perceptual, emotional and social judgements

$Interaction with a real-world AI system amplifies human bias (n = 100) a, Experimental design. The experiment consisted of three stages. In stage 1, participants were presented with images featuring six individuals from different race and gender groups: a White man, a White woman, an Asian man, an Asian woman, a Black man and a Black woman. On each trial, participants selected the person who they thought was most likely to be a financial manager. In stage 2, for each trial, three images of financial managers generated by Stable Diffusion were randomly chosen and presented to the participants. In the control condition, participants were presented with three images of fractals instead. In stage 3, participants repeated the task from stage 1, allowing measurement of the change in participants’ choices before versus after exposure to the AI-generated images. b, The results revealed a significant increase in participants’ inclination to choose White men as financial managers after being exposed to AI-generated images, but not after being exposed to fractal neutral images (control). The error bars represent s.e.m. Face stimuli in a reproduced from ref. ⁵⁹ under a Creative Commons licence CC BY 4.0.$

Interaction with a real-world AI system amplifies human bias (n = 100) a, Experimental design. The experiment consisted of three stages. In stage 1, participants were presented with images featuring six individuals from different race and gender groups: a White man, a White woman, an Asian man, an Asian woman, a Black man and a Black woman. On each trial, participants selected the person who they thought was most likely to be a financial manager. In stage 2, for each trial, three images of financial managers generated by Stable Diffusion were randomly chosen and presented to the participants. In the control condition, participants were presented with three images of fractals instead. In stage 3, participants repeated the task from stage 1, allowing measurement of the change in participants’ choices before versus after exposure to the AI-generated images. b, The results revealed a significant increase in participants’ inclination to choose White men as financial managers after being exposed to AI-generated images, but not after being exposed to fractal neutral images (control). The error bars represent s.e.m. Face stimuli in a reproduced from ref. ⁵⁹ under a Creative Commons licence CC BY 4.0.

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How human–AI feedback loops alter human perceptual, emotional and social judgements - Scientific Figure on ResearchGate. Available from: https://www.researchgate.net/figure/Interaction-with-a-real-world-AI-system-amplifies-human-bias-n100-a-Experimental_fig3_387185741 [accessed 21 Jun 2025]

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Interaction with a real-world AI system amplifies human bias (n = 100)
a, Experimental design. The experiment consisted of three stages. In stage 1, participants were presented with images featuring six individuals from different race and gender groups: a White man, a White woman, an Asian man, an Asian woman, a Black man and a Black woman. On each trial, participants selected the person who they thought was most likely to be a financial manager. In stage 2, for each trial, three images of financial managers generated by Stable Diffusion were randomly chosen and presented to the participants. In the control condition, participants were presented with three images of fractals instead. In stage 3, participants repeated the task from stage 1, allowing measurement of the change in participants’ choices before versus after exposure to the AI-generated images. b, The results revealed a significant increase in participants’ inclination to choose White men as financial managers after being exposed to AI-generated images, but not after being exposed to fractal neutral images (control). The error bars represent s.e.m. Face stimuli in a reproduced from ref. ⁵⁹ under a Creative Commons licence CC BY 4.0.

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<a href="https://www.researchgate.net/figure/Interaction-with-a-real-world-AI-system-amplifies-human-bias-n100-a-Experimental_fig3_387185741"><img src="https://www.researchgate.net/publication/387185741/figure/fig3/AS:11431281312061909@1740542133825/Interaction-with-a-real-world-AI-system-amplifies-human-bias-n100-a-Experimental.png" alt="Interaction with a real-world AI system amplifies human bias (n = 100)
a, Experimental design. The experiment consisted of three stages. In stage 1, participants were presented with images featuring six individuals from different race and gender groups: a White man, a White woman, an Asian man, an Asian woman, a Black man and a Black woman. On each trial, participants selected the person who they thought was most likely to be a financial manager. In stage 2, for each trial, three images of financial managers generated by Stable Diffusion were randomly chosen and presented to the participants. In the control condition, participants were presented with three images of fractals instead. In stage 3, participants repeated the task from stage 1, allowing measurement of the change in participants’ choices before versus after exposure to the AI-generated images. b, The results revealed a significant increase in participants’ inclination to choose White men as financial managers after being exposed to AI-generated images, but not after being exposed to fractal neutral images (control). The error bars represent s.e.m. Face stimuli in a reproduced from ref. ⁵⁹ under a Creative Commons licence CC BY 4.0."/></a>