All Work Published on Machine Learning
While visualizations can help developers better design, train, and understand their models, new research shows gaps between ambitions and evidence.
While visualizations can help developers better design, train, and understand their models, new research shows gaps between ambitions and evidence.
Experts from industry, academia, and government share lessons learned and outline a path forward at a Princeton-Stanford workshop.
Experts from industry, academia, and government share lessons learned and outline a path forward at a Princeton-Stanford workshop.
By studying the marketplace of commercial machine learning models, scholars characterize when individuals are exclusively misclassified.
By studying the marketplace of commercial machine learning models, scholars characterize when individuals are exclusively misclassified.
Generative agents rely on a large language model to remember their interactions, build relationships, and plan coordinated events, with implications for both gaming and social science.
Generative agents rely on a large language model to remember their interactions, build relationships, and plan coordinated events, with implications for both gaming and social science.
Stanford Ethicists Developing Guidelines for the Safe Inclusion of Pediatric Data in AI-Driven Medical Research
AI algorithms often are trained on adult data, which can skew results when evaluating children. A new perspective piece lays out an approach for pediatric populations.
AI algorithms often are trained on adult data, which can skew results when evaluating children. A new perspective piece lays out an approach for pediatric populations.
More people feel comfortable outsourcing important projects to AI; new research shows why we shouldn’t.
More people feel comfortable outsourcing important projects to AI; new research shows why we shouldn’t.