All Work Published on Machine Learning
This year’s winners propose innovative, bold ideas pushing the boundaries of artificial intelligence.
This year’s winners propose innovative, bold ideas pushing the boundaries of artificial intelligence.
Using “Pile of Law,” a dataset of legal materials, Stanford researchers explore filtering private or toxic content from training data for foundation models.
Using “Pile of Law,” a dataset of legal materials, Stanford researchers explore filtering private or toxic content from training data for foundation models.
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.
