… reduce model performance and lead to unreliable predictions. Algorithmic Bias and Equity Concerns: Models trained on biased historical data can … 2025 Apr 28 [cited 2025 May 1]; Available from: https://www.sciencedirect.com/science/article/pii/S0735675725003092 3.    Kijpaisalratana N, El Ariss AB, Balk … 7.    Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019 Oct …

… sexual health. He shares his findings, musings, and suggestions as to how we can best advocate for gender equality and change.  The conversation between Bradley White … related to justice, equity, diversity, and inclusion . We confront the implicit bias that occurs in healthcare situations. We have conversations in class on a weekly … related to justice, equity, diversity, and inclusion . We confront the implicit bias that occurs in healthcare situations. We have conversations in class on a weekly …

… Open, well-curated datasets would enable objective benchmarking of models, bias detection, and cross-species validation of behavioral metrics. Community … for human video recordings, requiring federated and on-device analysis strategies. Bias mitigation , ensuring algorithmic performance across diverse populations and … Open, well-curated datasets would enable objective benchmarking of models, bias detection, and cross-species validation of behavioral metrics. Community …