AIMC Topic: Sexism

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Moral judgments in online discourse are not biased by gender.

Scientific reports Jul 1, 2025
The interaction between social norms and gender roles prescribes gender-specific behaviors that influence moral judgments. While previous work has demonstrated the existence of gender-bias in judgments, these studies are mainly based on controlled ex...
Humans Female Adult Judgment Sexism Gender Role Male Sex Factors Morals
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Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Journal of nuclear medicine technology Jun 4, 2025
Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-35% of trainee radiologists are female, despite more than 50% of medical students' being female. Similar gender disparities are evident across the medi...
Diagnostic Imaging Ethnicity Sexism Humans Female Artificial Intelligence Male Generative Artificial Intelligence
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AI-generated faces influence gender stereotypes and racial homogenization.

Scientific reports Apr 25, 2025
Text-to-image generative AI models such as Stable Diffusion are used daily by millions worldwide. However, the extent to which these models exhibit racial and gender stereotypes is not yet fully understood. Here, we document significant biases in Sta...
Stereotyping Racism Sexism Male Face Racial Groups Humans Artificial Intelligence Female Adult
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Sex bias consideration in healthcare machine-learning research: a systematic review in rheumatoid arthritis.

BMJ open Mar 13, 2025
OBJECTIVE: To assess the acknowledgement and mitigation of sex bias within studies using supervised machine learning (ML) for improving clinical outcomes in rheumatoid arthritis (RA).
Arthritis, Rheumatoid Sexism Machine Learning Female Male Humans
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Sex-Based Bias in Artificial Intelligence-Based Segmentation Models in Clinical Oncology.

Clinical oncology (Royal College of Radiologists (Great Britain)) Jan 8, 2025
Artificial intelligence (AI) advancements have accelerated applications of imaging in clinical oncology, especially in revolutionizing the safe and accurate delivery of state-of-the-art imaging-guided radiotherapy techniques. However, concerns are gr...
Sexism Artificial Intelligence Female Male Neoplasms Medical Oncology Radiotherapy, Image-Guided Humans
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Overcoming the challenges that women in robotics face.

Science robotics Dec 18, 2024
Robotics history is still HIS story, but Women in Robotics is working hard to include HER story in the future of robotics.
Robotics Sexism Women Humans Female
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Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 1: Preliminary Evaluation.

Journal of nuclear medicine technology Dec 4, 2024
Generative artificial intelligence (AI) text-to-image production could reinforce or amplify gender and ethnicity biases. Several text-to-image generative AI tools are used for producing images that represent the medical imaging professions. White mal...
Humans Artificial Intelligence Female Ethnicity Sexism Male Image Processing, Computer-Assisted Diagnostic Imaging
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Gender bias in text-to-image generative artificial intelligence depiction of Australian paramedics and first responders.

Australasian emergency care Dec 2, 2024
INTRODUCTION: In Australia, almost 50 % of paramedics are female yet they remain under-represented in stereotypical depictions of the profession. The potentially transformative value of generative artificial intelligence (AI) may be limited by stereo...
Adult Allied Health Personnel Male Humans Artificial Intelligence Female Paramedics Australia Emergency Responders Sexism Middle Aged Generative Artificial Intelligence
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Gender Differences in Letters of Recommendations and Personal Statements for Neurotology Fellowship over 10 Years: A Deep Learning Linguistic Analysis.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Jul 25, 2024
OBJECTIVE: Personal statements (PSs) and letters of recommendation (LORs) are critical components of the neurotology fellowship application process but can be subject to implicit biases. This study evaluated general and deep learning linguistic diffe...
Sexism Linguistics Trust Female Humans Deep Learning Correspondence as Topic Adult Retrospective Studies Fellowships and Scholarships Sex Factors Male
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Gender-based linguistic differences in letters of recommendation for rhinology fellowship over time: A dual-institutional follow-up study using natural language processing and deep learning.

International forum of allergy & rhinology Jul 16, 2024
This follow-up dual-institutional and longitudinal study further evaluated for underlying gender biases in LORs for rhinology fellowship. Explicit and implicit linguistic gender bias was found, heavily favoring male applicants.
Female Male Sexism Deep Learning Humans Sex Factors Longitudinal Studies Otolaryngology Linguistics Fellowships and Scholarships Follow-Up Studies Correspondence as Topic Natural Language Processing
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