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Perpetuation of Gender Bias in Visual Representation of Professions in the Generative AI Tools DALL·E and Bing Image Creator
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Perpetuation of Gender Bias in Visual Representation of Professions in the Generative AI Tools DALL·E and Bing Image Creator (2024)Perpetuation of Gender Bias in Visual Rep…Investigating Gender and Racial Biases in DALL-E Mini Images (2024)Investigating Gender and Raci…Large language models show human-like content biases in transmission chain experiments (2023)Large language models show hu…Gender stereotypes in AI-generated images (2023)Gender stereotypes in AI-gene…ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)ChatGPT: A comprehensive revi…Exploring gender biases in ML and AI academic research through systematic literature review (2022)Exploring gender biases in ML…Mitigating Gender Bias in Natural Language Processing: Literature Review (2019)Mitigating Gender Bias in Nat…Artificial intelligence and algorithmic bias: implications for health systems (2019)Artificial intelligence and a…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Truck Driver or Nurse? The Impact of Gender Roles and Occupational Status on Children’s Occupational Preferences (2008)Truck Driver or Nurse? The Im…Circumscription and compromise: A developmental theory of occupational aspirations. (1981)Circumscription and compromis…Models of Man. (1959)Handbook of Industrial and Organizational Psychology. (1977)Conceiving the self (1979)Structural and dynamic aspects of interest development: theoretical considerations from an ontogenetic perspective (2002)Men and things, women and people: A meta-analysis of sex differences in interests. (2009)Why are some STEM fields more gender balanced than others? (2016)Sociology and Social Research (1981)Career Choice and Development. (1986)From Pink Frilly Dresses to ‘One of the Boys’: A Social‐Cognitive Analysis of Gender Identity Development and Gender Bias (2011)Gender-Related Academic and Occupational Interests and Goals (2014)Socialisation de genre et construction des identités sexuées (2014)Science faculty’s subtle gender biases favor male students (2012)Semantics derived automatically from language corpora contain human-like biases (2017)Model Cards for Model Reporting (2019)Five sources of bias in natural language processing (2021)Biases in Large Language Models: Origins, Inventory, and Discussion (2023)Gender bias and stereotypes in Large Language Models (2023)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Recommendations for ethical and responsible use of artificial intelligence in digital agriculture (2022)Bias in AI-based models for medical applications: challenges and mitigation strategies (2023)How can we manage biases in artificial intelligence systems – A systematic literature review (2023)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)A Survey on Bias and Fairness in Machine Learning (2021)Fairness-aware machine learning engineering: how far are we? (2023)Towards best practices for mitigating artificial intelligence implicit bias in shaping diversity, inclusion and equity in higher education (2024)Responsible AI in Marketing: AI Booing and AI Washing Cycle of AI Mistrust (2025)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence? (2023)How does generative artificial intelligence impact student creativity? (2023)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT (2024)Culture and the Evolutionary Process (1986)Algorithmic Bias in Autonomous Systems (2017)Believing Anthropomorphism: Examining the Role of Anthropomorphic Cues on Trust in Large Language Models (2024)Wisdom of the silicon crowd: LLM ensemble prediction capabilities rival human crowd accuracy (2024)Evaluating and addressing demographic disparities in medical large language models: a systematic review (2025)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)International Labour Organization (2022)Generative AI and the Future of Democratic Citizenship (2024)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)What Does AI Think a Chemist Looks Like? An Analysis of Diversity in Generative AI (2024)Generative AI in Museums: Design Concepts for an Accessible Digital Mediation Station for a Renaissance Altar (2025)
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References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2023ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope2,455 cited
  • 1981Circumscription and compromise: A developmental theory of occupational aspirations.2,164 cited
  • 2019Artificial intelligence and algorithmic bias: implications for health systems532 cited
  • 2019Mitigating Gender Bias in Natural Language Processing: Literature Review491 cited
  • 2023Large language models show human-like content biases in transmission chain experiments137 cited
  • 2022Exploring gender biases in ML and AI academic research through systematic literature review95 cited
  • 2008Truck Driver or Nurse? The Impact of Gender Roles and Occupational Status on Children’s Occupational Preferences73 cited
  • 2024Investigating Gender and Racial Biases in DALL-E Mini Images57 cited
  • 2023Gender stereotypes in AI-generated images37 cited

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