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Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias


Dec 21, 2022
Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan

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* 15 pages, 2 figures 

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Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale


Nov 07, 2022
Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan

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American == White in Multimodal Language-and-Image AI


Jul 01, 2022
Robert Wolfe, Aylin Caliskan

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* Accepted to AI Ethics and Society 2022 

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Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics


Jun 07, 2022
Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R. Banaji

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* 15 pages, 6 figures, accepted to AAAI/ACM Artificial Intelligence, Ethics, and Society 

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Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals


Jun 03, 2022
Shiva Omrani Sabbaghi, Aylin Caliskan

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Markedness in Visual Semantic AI


May 23, 2022
Robert Wolfe, Aylin Caliskan

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* To be published at ACM FAccT 2022 

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Evidence for Hypodescent in Visual Semantic AI


May 22, 2022
Robert Wolfe, Mahzarin R. Banaji, Aylin Caliskan

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* To be published at ACM FAccT 2022 

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Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations


Mar 14, 2022
Robert Wolfe, Aylin Caliskan

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* To be published in ACL 2022 

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VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models


Mar 14, 2022
Robert Wolfe, Aylin Caliskan

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* To be published in AAAI 2022 

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Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models


Oct 01, 2021
Robert Wolfe, Aylin Caliskan

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* Empirical Methods in Natural Language Processing 2021 
* 15 pages, 3 figures, 8 tables 

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