Text-to-image models, like Midjourney and DALL-E, have been shown to reinforce harmful biases, often perpetuating outdated and discriminatory stereotypes. In this study, we delve into a particularly insidious bias largely overlooked in generative image research: Brilliance Bias. By age six, many children begin to internalize the damaging notion that intellectual brilliance is a male trait—a belief that persists into adulthood. Our findings demonstrate that popular image AI models possess this bias, further entrenching the misguided notion that exceptional intelligence is inherently male.

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[1] Juliana Shihadeh, "Text-to-Image Models Prompted on Intellect", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/c5ym-kw44. Accessed: Dec. 26, 2024.
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doi = {10.21227/c5ym-kw44},
url = {http://dx.doi.org/10.21227/c5ym-kw44},
author = {Juliana Shihadeh },
publisher = {IEEE Dataport},
title = {Text-to-Image Models Prompted on Intellect},
year = {2024} }
TY - DATA
T1 - Text-to-Image Models Prompted on Intellect
AU - Juliana Shihadeh
PY - 2024
PB - IEEE Dataport
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Juliana Shihadeh. (2024). Text-to-Image Models Prompted on Intellect. IEEE Dataport. http://dx.doi.org/10.21227/c5ym-kw44
Juliana Shihadeh, 2024. Text-to-Image Models Prompted on Intellect. Available at: http://dx.doi.org/10.21227/c5ym-kw44.
Juliana Shihadeh. (2024). "Text-to-Image Models Prompted on Intellect." Web.
1. Juliana Shihadeh. Text-to-Image Models Prompted on Intellect [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/c5ym-kw44
Juliana Shihadeh. "Text-to-Image Models Prompted on Intellect." doi: 10.21227/c5ym-kw44