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Artificial intelligence has reached a critical turning point in its evolution, according to a new report by an international panel of experts assessing the state of the field for the second time in five years.

Ethics will be at the forefront of robotics education thanks to a new University of Texas at Austin program that will train tomorrow's technologists to understand the positive — and potentially negative — implications of their creations.

The Association for Computing Machinery, the primary professional organization in the field of computer science, has named two University of Texas at Austin professors — Peter Stone and Lizy Kurian John — as ACM Fellows. The award goes only to highly distinguished computer scientists representing the top 1% of ACM members.

A methodical voice tells the watching crowd, "I am going to remove the lid." Everyone is quiet as a robot using artificial intelligence (AI) opens a trash can and lifts out a bag. Students and researchers hold their breath as it navigates across the floor of a mock house, avoiding obstacles to its destination. "Mission accomplished," it says. The trash has been taken out and the audience applauds. This is a huge achievement for the robot designed by a Texas Robotics team for the 2019 RoboCup competition.

Imagine that you are a robot in a hospital: composed of bolts and bits, running on code, and surrounded by humans. It's your first day on the job, and your task is to help your new human teammates—the hospital's employees—do their job more effectively and efficiently. Mainly, you're fetching things. You've never met the employees before, and don't know how they handle their tasks. How do you know when to ask for instructions? At what point does asking too many questions become disruptive?

Artificial intelligence is becoming more and more a part of our daily lives. But will AI have mostly positive or negative impacts on society?

Joydeep Biswas leads the Autonomous Mobile Robotics Laboratory (AMRL) at UT, where he and other researchers work on building mobile service robots that assist humans in everyday environments. The lab investigates programs and algorithms that enable these robots to better navigate changing conditions, incorporate human assistance and recover from failures intelligently.

In a sign of the highly competitive environment for top talent in the field of artificial intelligence (AI), the Sony Corporation this week tapped Peter Stone, a faculty member in the College of Natural Sciences at The University of Texas at Austin, to lead the newly established Sony AI in the United States.

​Members of The University of Texas at Austin's Learning Agents Research Group have been a resource for members of the media about how to teach artificial intelligence systems to learn.

The American Association for the Advancement of Science (AAAS), the world's largest general scientific society, has named computer scientist Peter Stone and two other University of Texas at Austin faculty members as fellows. This year's AAAS fellows – members of the College of Natural Sciences, the Cockrell School of Engineering and the College of Liberal Arts – will be inducted at a February ceremony during the AAAS Annual Meeting in Washington, D.C.