What is the great hidden cost of doing business and carrying on the government? Poor communication. And the numbers are staggering. Anyone who needs proof can find it in the just-published second ...

Have you ever gotten an email and you don't have the faintest idea what the writer wants you to do? Well now there's a place for that email to go. You can enter it in the Center for Plain Language’s ...

If you’re looking for simple, straightforward information, the federal government isn’t likely the first place you would turn. But some agencies are working to change that. Two prime examples are the ...

The doctor speaks "medicalese," and the patient's eyes glaze over. Researchers noticed this familiar failure to communicate when health care researchers asked people to take part in studies. So they ...

Researchers developed a system that converts AI explanations into narrative text that can be more easily understood by users. This system could help people determine when to trust a model's ...

At 10 a.m Wednesday, the Supreme Court will hold one hour of argument in Yates v. United States, testing the sweep — or the narrowness — of a federal law that seeks to protect evidence of crime from ...

President Obama signed the Plain Writing Act of 2010 into law on October 13, 2010. The new legislation will require federal government agencies to draw up a plain language action plan, and to train ...

Drs. Jeanette Johnson, Elana J. Fertig, and Daniel Bergman review mathematical models and genomic data to simulate cancer cell growth. [University of Maryland School of Medicine] Researchers at ...

Plain language versus structure. That’s the debate the parties offer the court Tuesday morning in Kemp v. United States. The case involves a small detail of the Federal Rules of Civil Procedure – the ...

City of Cambridge employees Crystal Rosa, right, and Bridget Martin, left, hold host language justice workshops with various city departments. (Photo courtesy Crystal Rosa) This is your first of three ...

Machine-learning models can make mistakes and be difficult to use, so scientists have developed explanation methods to help users understand when and how they should trust a model's predictions. These ...