生成式AI承载非民主偏见和刻板印象：在职业图像中女性、黑人个体、年龄群体和残疾人代表性的研究
Generative AI Carries Non-Democratic Biases and Stereotypes: Representation of Women, Black Individuals, Age Groups, and People with Disability in AI-Generated Images across Occupations
AI总结：
研究探讨生成式AI在职业图像中对女性、黑人、年龄群体和残障人士的代表性差异，发现存在显著偏见，呼吁加强算法多样性以促进公平与包容。
摘要：
本文研究了生成式AI系统如何复制和强化社会偏见，重点关注AI生成职业图像中女性、黑人、年龄群体和可见残疾人的代表性。分析了微软Designer、Meta AI和Ideogram生成的444张图像，发现女性在高级和技术职位中代表性不足，黑人几乎缺席，残障人士完全缺失，且存在年龄偏见，年轻个体被过度描绘。这些模式表明生成式AI工具复制并放大了现有职场不平等和刻板印象，损害了民主价值。研究强调算法多样性暴露的紧迫性，并建议AI开发者和企业用户审计工具的公平性、多样性和包容性（EDI）风险。呼吁在AI开发和治理中纳入多样化群体，以促进更民主和负责任的技术。
英文摘要：
In this study, I investigate how generative artificial intelligence (AI) systems reproduce and reinforce societal biases, with a specific focus on the representation of women, Black individuals, age groups, and people with visible disabilities in AI-generated occupational images. I analyzed 444 images generated by Microsoft Designer, Meta AI, and Ideogram across 37 occupations and found significant disparities in representation. Women are underrepresented in senior and technology roles, Black individuals are nearly absent, and people with visible disabilities are completely absent across all categories. I also observed clear age bias, with younger individuals predominantly depicted. These patterns suggest that generative AI tools replicate, and in some cases amplify, existing workplace inequalities and stereotypes, undermining democratic values of equity and inclusion. My findings highlight the urgent need for algorithmic diversity exposure, and I recommend that AI developers and corporate users audit their tools for equity, diversity, and inclusion (EDI) risks. I argue for the critical inclusion of diverse groups in AI development and governance to foster more democratic and socially responsible technologies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
