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Artificial Intelligence

Transforming Video Accessibility Through Artificial Intelligence

Smart phone positioned on a phone tripod in a netural-tone, naturally lit room with a large window in the background.

06/27/2024 - Digital media is one of the best ways to engage with new communities, where each click takes you to new, engaging platforms like TikTok, Instagram Reels, and YouTube Shorts. This content is enhanced when you consider the intricacies of webcam visuals and overlays making it a really immersive experience.  Now, imagine this experience if you’re unable to see the video. For people with visual impairments, accessing this content comes with many challenges. These platforms currently lack effective solutions to bridge the accessibility gap for the blind and low vision (BLV) community.

Artificial Intelligence Trained to Draw Inspiration From Images, Not Copy Them

Three rows of similarly themed illustrations—earnest dogs, scientist pandas and robot graffiti—differ in each of five iterations per row.

05/17/2024 - Researchers are using corrupted data to help generative AI models avoid the misuse of images under copyright. Powerful new artificial intelligence models sometimes, quite famously, get things wrong — whether hallucinating false information or memorizing others’ work and offering it up as their own. To address the latter, researchers led by a team at The University of Texas at Austin have developed a framework to train AI models on images corrupted beyond recognition.

Transforming Human-Robot Interaction Through Mood Inducing Music

Young person lounging back with a boombox under their right foot listening to music.

05/06/2024 - Music has always had the power to stir our emotions, from the exhilaration of a fast-paced rock anthem to the melancholy of a soulful ballad. But, could the music we listen to also affect how we make decisions, especially in our interactions with robots? This intriguing question lies at the heart of a study conducted by UT Austin Assistant Professor Elad Liebman and Professor Peter Stone.

New “Essentials of AI” Course Launches This Fall

White letters spell the abbreviation AI with bands of color surrounding

08/11/2023 - The Department of Computer Science and the Good Systems program present a one semester-credit-hour course titled “Essentials of AI for Life and Society.” Experts in artificial intelligence predict that AI-powered technologies will continue to become more and more a part of our everyday lives. It will affect how we work, spend our leisure time, make policy decisions and make sense of the world around us. And yet, most of us don’t really understand how the technologies work or what their potential risks and benefits are.

Brain Activity Decoder Can Reveal Stories in People’s Minds

Alex Huth (left), Shailee Jain (center) and Jerry Tang (right) prepare to collect brain activity data in the Biomedical Imaging Center at The University of Texas at Austin. The researchers trained their semantic decoder on dozens of hours of brain activity data from participants, collected in an fMRI scanner. Photo Credit: Nolan Zunk/University of Texas at Austin.

05/01/2023 - The work relies in part on a transformer model, similar to the ones that power ChatGPTA new artificial intelligence system called a semantic decoder can translate a person’s brain activity — while listening to a story or silently imagining telling a story — into a continuous stream of text. The system developed by researchers at The University of Texas at Austin might help people who are mentally conscious yet unable to physically speak, such as those debilitated by strokes, to communicate intelligibly again.

New Partnership Will Scale Up Investment in Ethical AI Research and Innovation

Kenneth R. Fleischmann, Will Griffin, Mikel Rodriguez and Alice Xiang at the 2022 Good Systems Symposium. Credit: Stacey Ingram Kaleh.

08/05/2022 - The University of Texas at Austin and the MITRE Corporation, a nonprofit dedicated to solving problems for a safer world, have formed a partnership that includes accelerating innovative ethical artificial intelligence (AI) research currently underway by interdisciplinary teams of researchers who are part of UT Austin's Good Systems research grand challenge.