artificial intelligence

Dr. Na Zou is developing a data-centric fairness framework to eliminate or reduce bias and promote data quality.

Texas A&M researchers aim to create a future where data science and artificial intelligence are used to predict, prepare for and respond to natural hazards, from hurricanes to earthquakes.

Three experts explain why it’s difficult to do and important to get right

From engineering to the humanities, experts agree that artificial intelligence technology is here to stay. But how can we maximize its benefits while avoiding ethical pitfalls and unintended consequences?

Researchers develop a framework for guarding against the potential harms of AI that also overcomes the inflexible nature of government regulation.

Artificial intelligence could make legal services more streamlined and accessible — but many aspects of the profession still require a distinctly human touch, says A&M Law Professor Milan Markovic.

Texas A&M and Arizona State University researchers will develop artificial intelligence algorithms to predict fatigue states using human breath.

The university is among 16 institutions accepted into an artificial intelligence ethics initiative backed by the National Humanities Center (NHC) and Google.

A Texas A&M researcher will lead a team tasked with developing deep-learning methods to detect telltale signs of the disease lurking within images produced by MRIs and PET scans.

Researchers at Texas A&M are determining if it's possible for semi-autonomous vehicles to interpret situations in a way resembling the human decision-making process.