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How does AI make big decisions that can change people's lives? From getting hired for a job to getting parole as an offender, can AI make better decisions than humans? Marc Airhart talks to journalism and RTF professor Craig Watkins about decision-making within AI and how to ensure systems are fair and ethical. Read Article
Professor Greg Durrett teaches a course designed for educators that explains the ins and outs of large language models like Chat GPT.
AUSTIN (KXAN) — Students heading back to school this semester are entering the classroom with a new tool that experts say could soon be as common as a calculator. “It’s a very useful tool, and students are going to have to know how to use that tool when they should use that tool when they shouldn’t use the tool,” said Greg Durrett, an associate professor in the Department of Computer Science at the University of Texas in Austin. Read Article
Through all the claims of how AI can help us become healthier, which ones are true and which ones are false? Marc Airhart talks to associate rhetoric professor Scott Graham about the myths of AI and healthcare and potential pitfalls to bringing AI into the field of healthcare. Read Article
NAO Humanoid robots playing soccer in the Intelligent Robotics lab in the UT Computer Science Gates Dell Complex.
Are AI robots the future of sports? These UT students think soAustin (KXAN) — A team of UT students, led by Professor Peter Stone, recently triumphed at the RoboCup Home competition in the Netherlands, where their AI-powered robots autonomously played soccer. The students believe their research is paving the way for a future where robots can compete against humans in sports, revolutionizing the field of AI robotics. Read Article
Close up of UT Tower clock face with "Test of Time Award" text in bottom left corner.
UT Computer Science is proud to announce that Professors Brent Waters and Hovav Shacham have both been honored with the prestigious Test-of-Time Award by the International Association for Cryptologic Research (IACR). Read More
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From data analysis, code writing, summarizing scientific literature and even designing experiments, researchers across disciplines are using AI tools to aid in their research.Adam Klivans, a professor of computer science and Alex Dimakis, a computer and electrical engineering professor, co-direct the Machine Learning Lab and the Institute for Foundations of Machine Learning. Together with Marc Airhart and Casey Boyle discuss how artificial intelligence plays an increasingly important role in the latest scientific discoveries. Read Article
Peter Stone standing in the Gates Dell Complex in a blue button down shirt, arms crossed and smiling at camera.
Peter Stone of UT computer science leads Sony AI in the U.S. and is now its chief scientist and deputy president. Read More
Eight people, half of them in Texas Robotics shirts and half in Wisconsin badgers t-shirts, pose on a soccer field, several of them holding small robots in jerseys.
Among hundreds of teams from around the world competing at RoboCup 2024, UT researchers and their robots shine. Read More
A hand holds a block with an image of a robotic head and the hand is preparing to drop the block into a gap in a line of blocks, each with an icon representing a work task ssuch as driving, using a hammer, sorting files or stapling
Artificial intelligence integration into the workforce brings many questions. From impacts on workers and consumers alike, what would increasing AI in the workplace look like? Maytal Saar-Tsechansky, a professor in the McCombs School of Business with experience developing AI algorithms for improved decision-making and achieving business and personal goals, and Samantha Shorey, an assistant communications professor, join Marc Airhart and Casey Boyle to dig deeper into the increasing use of AI in the workplace. Read Article
Amy Pavel standing outside on UT Austin campus in a black button down shirt smiling at the camera.
The UT computer science lab, with faculty member Amy Pavel and recent graduate Tess Van Daele at the forefront, has developed an AI system called ShortScribe to enhance accessibility for visually impaired users of short-form videos on platforms like TikTok and Instagram Reels. Pavel, an assistant computer science professor and co-author of the research paper, explained that the system utilizes AI technologies such as Optical Character Recognition, Automatic Speech Transmission, and GPT-4 to segment videos, transcribe speech, and create detailed audio descriptions. Read Article