Philosopher Sam Berstler diagnoses the corrosive effects of not acknowledging troubling truths.

Industrial policy is said to have sparked huge growth in East Asia. Two MIT economists say the numbers tell a more complex story.

Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.

Twins are pretty rare, accounting for just 3% of births in the US these days. But new research shows that for primates 60 million years ago, giving birth to twins was the norm.

It’s a good idea to make sure your spacecraft can take the heat that comes with reentering Earth’s atmosphere before you put people in it.

A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.

Private conservation groups channel huge sums of money to parks and protected areas around the world, but often have failed to protect basic rights of Indigenous people living on those lands.

Using LLMs to convert machine-learning explanations into readable narratives could help users make better decisions about when to trust a model.

Researchers develop “ContextCite,” an innovative method to track AI’s source attribution and detect potential misinformation.

International research co-led by Professor Fotini Christia finds an approach lauded in the US works differently in other regions.