All Work Published on Machine Learning
A new study explores how to apply machine learning to digital assistants in a way that could better protect our data.
A new study explores how to apply machine learning to digital assistants in a way that could better protect our data.
Using AI, scholars track political speech on immigration over decades to find more positive attitudes than at any point in history, but with more partisan divide.
Using AI, scholars track political speech on immigration over decades to find more positive attitudes than at any point in history, but with more partisan divide.
"Worse" AI Counterintuitively Enhances Human Decision Making and Performance
AI systems that more closely align with human notions of confidence could lead to more effective human-AI collaboration.
AI systems that more closely align with human notions of confidence could lead to more effective human-AI collaboration.
In healthcare, predictive models need to be more than good predictors. Stanford scholars suggest a framework for determining a model’s worth.
In healthcare, predictive models need to be more than good predictors. Stanford scholars suggest a framework for determining a model’s worth.
A Stanford researcher questions the need for generalizable models and proposes instead sharing recipes for creating useful local models.
A Stanford researcher questions the need for generalizable models and proposes instead sharing recipes for creating useful local models.
Who Decides? Dealing with Online Toxic Speech by Selecting the Decision Makers
A novel jury learning system lets content moderators explicitly choose which people to listen to when training machine learning systems to recognize toxic speech.
A novel jury learning system lets content moderators explicitly choose which people to listen to when training machine learning systems to recognize toxic speech.
