Code and architecture often fail to convey meaning understandably. Not only humans but also AI models fail due to the consequences.

People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...

Did the writers become lazy? Did seeing a perfect AI suggestion make them suppress their own unique voices? The data says no. When Padmakumar and He ...

Discover AI Productivity Tools Adoption in Software Engineering Statistics with key data, and trends shaping developer productivity.