Analysis from a Texas A&M associate professor of information and operations management.

Texas A&M engineers are using machine learning to help automate the ship-landing process by mimicking a helicopter pilot’s behavior.

Engineering professor Joshua Peeples is working with faculty from the College of Agriculture and Life Sciences to process data from the state-of-the-art Plant Growth and Phenotyping Facility.

A new research project will explore the unprecedented tools and processes now available through machine learning.

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.

Science & Tech

Regulating AI

Apr 11, 2023 • 9 min. read

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.