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.

As a child, a civil war drove Mlen-Too Wesley out of Liberia. As an adult, he has returned and is applying what he learned in an MITx MicroMasters program to help the West African nation thrive.

Volha Charnysh’s new book examines refugees and state-building in Germany and Poland after World War II, as new residents spurred economic and civic growth.

The Space Launch System is a crucial part of America’s plans to return to the Moon.

Ancient fossil footprints are the first evidence of two different hominin species − Homo erectus and Paranthropus boisei − living in the same place at the same time.