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Machine learning models that convert user-written text descriptions into images are now widely available online and used by millions of users to generate millions of images a day.
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The Association between Perceived Discrimination and Underutilization of Needed Medical and Mental Health Care in a Multi-Ethnic Community Sample
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Estimating Risk: Stereotype Amplification and the Perceived Risk of Criminal Victimization
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The Face of Danger
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Colorblind ideology is a form of racism: A colorblind approach allows us to deny uncomfortable cultural differences
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An Intersectional Analysis of Gender and Ethnic Stereotypes
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”They See Me as Exotic… That Intrigues Them:” Gender, Sexuality and the Racially Ambiguous Body
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The American census: A social history
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Multimodal datasets: misogyny, pornography, and malignant stereotypes
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Decolonial Ecology: Thinking from the Caribbean World
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Pollution is colonialism
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An image of society: Gender and racial representation and impact in image search results for occupations
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Data and its (dis)contents: A survey of dataset development and use in machine learning research
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Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2015, Seoul, Republic of Korea, April 18-23, 2015 , Bo Begole, Jinwoo Kim, Kori Inkpen, and Woontack Woo (Eds.). ACM, 3819–3828
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The Chicago face database: A free stimulus set of faces and norming data
Debbie S Ma, Joshua Correll, and Bernd Wittenbrink. 2015 · 2015
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A qualitative approach to intersectional microaggressions: Understanding influences of race, ethnicity, gender, sexuality, and religion
Kevin L. Nadal, Kristin C. Davidoff, Lindsey S. Davis, Yinglee Wong, David Marshall, and Victoria McKenzie. 2015 · 2015
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Leading with their hearts? How gender stereotypes of emotion lead to biased evaluations of female leaders
Victoria L. Brescoll. 2016 · 2016
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Race as a bundle of sticks: Designs that estimate effects of seemingly immutable characteristics
Maya Sen and Omar Wasow. 2016 · 2016
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Terrorists Are Always Muslim but Never White: At the Intersection of Critical Race Theory and Propaganda
Caroline Mala Corbin. 2017 · 2017
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Learning transferable visual models from natural language supervision. In International Conference on Machine Learning . PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Measuring Social Biases in Grounded Vision and Language Embeddings. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Online, 998–1008
Candace Ross, Boris Katz, and Andrei Barbu. 2021 · 2021
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Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, 1995–2008
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Ethical and social risks of harm from language models
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How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
Hritik Bansal, Da Yin, Masoud Monajatipoor, and Kai-Wei Chang. 2022 · 2022
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DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers
Jaemin Cho, Abhaysinh Zala, and Mohit Bansal. 2022 · 2022
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CompVis. 2022 · 2022
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The Ghost in the Machine has an American accent: value conflict in GPT-3
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OpenAI. 2022b · 2022
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DALL·E Now Available Without Waitlist — openai.com
OpenAI. 2022c · 2022
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Hierarchical text-conditional image generation with CLIP latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
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High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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Evidence for Hypodescent in Visual Semantic AI
Robert Wolfe, Mahzarin R. Banaji, and Aylin Caliskan. 2022a · 2022
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American == White in Multimodal Language-and-Image AI. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (Oxford, United Kingdom) (AIES ’22) . Association for Computing Machinery, New York, NY, USA, 800–812
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Markedness in Visual Semantic AI
Robert Wolfe and Aylin Caliskan. 2022b · 2022
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Robert Wolfe, Yiwei Yang, Bill Howe, and Aylin Caliskan. 2022b · 2022
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Social norm bias: residual harms of fairness-aware algorithms
Myra Cheng, Maria De-Arteaga, Lester Mackey, and Adam Tauman Kalai. 2023 · 2023
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