Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data by Balagopalan, Aparna, Madras, David, Yang, David H., Hadfield-Menell, Dylan, Hadfield, Gillian K., Ghassemi, Marzyeh

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Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data by Xu, Xuhai, Yao, Bingsheng, Dong, Yuanzhe, Gabriel, Saadia, Yu, Hong, Hendler, James, Ghassemi, Marzyeh, Dey, Anind K., Wang, Dakuo

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Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention by Orzikulova, Adiba, Xiao, Han, Li, Zhipeng, Yan, Yukang, Wang, Yuntao, Shi, Yuanchun, Ghassemi, Marzyeh, Lee, Sung-Ju, Dey, Anind K, Xu, Xuhai

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Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review by Birdi, Sharon, Rabet, Roxana, Durant, Steve, Patel, Atushi, Vosoughi, Tina, Shergill, Mahek, Costanian, Christy, Ziegler, Carolyn P., Ali, Shehzad, Buckeridge, David, Ghassemi, Marzyeh, Gibson, Jennifer, John-Baptiste, Ava, Macklin, Jillian, McCradden, Melissa, McKenzie, Kwame

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Evaluating Fairness of Artificial Intelligence Models for Radiology Image Classification by Sandadi, Varsha

Other Authors: “…Ghassemi, Marzyeh…”
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