Two trailblazing scientists who today received this year’s Turing Award for creating fundamental artificial intelligence training techniques are using the spotlight to shine concern on the dangers of rushing AI models out for public consumption.

Reinforcement learning pioneers Andrew Barto and Richard Sutton receive the Turing Award for revolutionizing AI innovation and shaping the future of technology.

The Turing Award, sometimes referred to as the "Nobel Prize of computing" was given to a University of Massachusetts Amherst computer scientist and his former graduate student.

Turing Award: The award, often called the Nobel Prize of computing, was given to Andrew Barto and Richard Sutton, the developers of a technique called reinforcement learning that is vital to chatbots.

The Turing award, often considered the Nobel prize of computing, has gone to two computer scientists for their work on reinforcement learning, a key technique in training artificial intelligence model

Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work in the field has won two men the highest honor in computer science.

This year's Turing Award — often called the Nobel Prize of computer science — is going to Andrew Barto and Richard Sutton, the pioneers of a key approach that underlies much of today's artificial intelligence.

Too fast, too untested, too profit-oriented: Turing Award winners Andrew Barto and Richard Sutton criticize AI developments.

Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence (AI) and one that was recognized Wednesday with the top computer science award.