Uploaded December 2024 | Updated September 2026, 2 weeks ago
Science students at UT Austin touched on some timely topics for our reporter in the field.
They share the coolest science facts they learned this semester, describe their favorite professor using a scientific term, offer their go-to finals survival tips, reveal their favorite study spots on campus and give their best advice for fellow students.
Share your answers to these questions in the comments below!
Need some support like Alejandra suggested? Find resources at txsci.net/support
#TexasScience #UTAustin @JSGUTAUSTIN @UTAustin
Science students at UT Austin touched on some timely topics for our reporter in the field.
They share the coolest science facts they learned this semester, describe their favorite professor using a scientific term, offer their go-to finals survival tips, reveal their favorite study spots on campus and give their best advice for fellow students.
Share your answers to these questions in the comments below!
Need some support like Alejandra suggested? Find resources at txsci.net/support
#TexasScience #UTAustin @JSGUTAUSTIN @UTAustin

![AI at Work
Who will ultimately benefit from having more of our work done by AI—employees or employers? What about potential harms, like forcing us to spend time cleaning up mediocre products—pushing down wages—or eliminating jobs altogether? And how can we best prepare for working in an AI-powered future?
Today on the show we have Maytal Saar-Tsechansky (https://www.mccombs.utexas.edu/faculty-and-research/faculty-directory/maytal-saar-tsechansky/) — a professor in @UTMcCombsSchool, who has been developing AI algorithms especially around improved decision making and achieving societal, business, organizational and personal goals. And we also have Samantha Shorey (https://www.samanthashorey.com/about-me), an assistant professor in the @texasmoody Department of Communication Studies. She studies the contributions of people who are often overlooked in our dominant cultural narratives about technology innovation—paying close attention to all the creativity and ingenuity of workers (especially women).
Looking for more great podcasts about AI? Then check out Generation AI (https://thedragaudio.com/category/generation-ai/). It’s produced by our friends over at @thedragaudio (https://thedragaudio.com/), a student-run podcast production house at @UTAustin. They cover topics like making cities smarter, autonomous vehicles, election disinformation, and more.
—Dig Deeper—
• Automating Essential Work (https://www.samanthashorey.com/automating-essential-work) (Samantha Shorey documented how integrating AI into the workflows of essential workers during the COVID-19 pandemic increased their workload and made their daily duties more complex and technical.)
• AI Will Transform the Global Economy. Let’s Make Sure It Benefits Humanity (https://www.imf.org/en/Blogs/Articles/2024/01/14/ai-will-transform-the-global-economy-lets-make-sure-it-benefits-humanity). International Monetary Fund (An IMF study predicts that in advanced economies, about 60 percent of jobs may be impacted by AI; about half of which might see lower wages or disappear.)
• What jobs are safe from AI? Here are 4 career fields to consider, (https://www.deseret.com/business/2024/04/22/jobs-protected-from-ai/) Desert News (Jobs in healthcare, education, law and creative fields might see fewer jobs eliminated by AI than others.)
• Navigating the Jagged Technological Frontier (https://www.hbs.edu/ris/Publication%20Files/24-013_d9b45b68-9e74-42d6-a1c6-c72fb70c7282.pdf), Harvard Business School. (Study finds that the capabilities of AI create a “jagged technological frontier” where some tasks are easily done by AI, while others, though seemingly similar in difficulty level, are outside the current capability of AI.)
• Will AI be an economic blessing or curse? History offers clues (https://www.reuters.com/technology/will-ai-be-an-economic-blessing-or-curse-history-offers-clues-2023-08-07/), Reuters (Technological advances through the ages have often ended up benefiting the wealthy, but doing little to help workers.)
—Episode Credits—
• Our co-hosts are Marc Airhart, science writer and podcaster in the College of Natural Sciences and Casey Boyle, associate professor of rhetoric and director of UT’s Digital Writing & Research Lab (http://www.dwrl.utexas.edu/) .
• Executive producers are Christine Sinatra and Dan Oppenheimer.
• Sound design and audio editing by Robert Scaramuccia. Theme music is by Aiolos Rue. Interviews are recorded at the @LiberalArtsUT ITS recording studio.
• Elements of the cover image for this episode were generated with Photoshop’s generative AI tools.
—About AI for the Rest of Us—
AI for the Rest of Us is a joint production of The University of Texas at Austin’s College of Natural Sciences and College of Liberal Arts. This podcast is part of the University’s Year of AI (https://yearofai.utexas.edu/) initiative. The opinions expressed in this podcast represent the views of the hosts and guests, and not of The University of Texas at Austin. You can listen via Apple Podcasts (https://podcasts.apple.com/us/podcast/ai-for-the-rest-of-us/id1749168252), Spotify (https://open.spotify.com/show/2Z3Ut7PMH5RmRcr45wI1A7), Amazon Podcasts (https://music.amazon.com/podcasts/1197b991-2383-42f1-af69-e88138facaf2/ai-for-the-rest-of-us) , RSS (https://feeds.simplecast.com/ak gU6w), or anywhere you get your podcasts. You can also listen on the web at aifortherest.net (http://aifortherest.net/). Have questions or comments? Contact: mairhart[AT]austin.utexas.edu
#TexasAI #YearofAI #Podcast #SciencePodcast #AIForTheRestOfUs #ArtificialIntelligence AI at Work](https://i.ytimg.com/vi/SaCvsra-2QA/mqdefault.jpg)






![The University of AI
Artificial intelligence tools might transform education, for example, by giving every student 24/7 access to an affordable tutor that’s an expert in any subject and infinitely patient and supportive. But what if these AI tools give bad information or relieve students of the kind of critical thinking that leads to actual learning? And what’s the point of paying to go to college if you can learn everything from AI chatbots?
Today on the show we have Art Markman—Vice Provost for Academic Affairs and a professor of psychology and marketing at The University of Texas at Austin. He’s also co-host of the public radio program and podcast “Two Guys on Your Head” (https://kutkutx.studio/category/two-guys-on-your-head). And we also have K.P. Procko—an associate professor of instruction in biochemistry who uses AI in the classroom and who also manages a grant program in @UTAustin’s College of Natural Sciences to help faculty integrate AI tools into the classroom.
—Dig Deeper—
• A Technologist Spent Years Building an AI Chatbot Tutor. He Decided It Can’t Be Done. (https://www.edsurge.com/news/2024-01-22-a-technologist-spent-years-building-an-ai-chatbot-tutor-he-decided-it-can-t-be-done) Ed Surge (One researcher gave up on expert AI tutors for students, saying the tech is still decades away, and instead is focusing on AI tools to help human teachers do a better job)
• Opinion: An ‘education legend’ has created an AI that will change your mind about AI (https://www.washingtonpost.com/opinions/2024/02/22/artificial-intelligence-sal-khan/), Washington Post (AI columnist Josh Tyrangiel says a popular AI-based math tutor “is the best model we have for how to develop and implement AI for the public good. It’s also the first AI software I’m excited for my kids to use.”)
• Will Chatbots Teach Your Children? (https://www.nytimes.com/2024/01/11/technology/ai-chatbots-khan-education-tutoring.html), New York Times (An overview of the potential benefits and risks of AI-based tutors, as well telling hype from reality)
• Will Artificial Intelligence Help Teachers—or Replace Them? (https://www.edweek.org/technology/will-artificial-intelligence-help-teachers-or-replace-them/2023/04) , Ed Week (features UT Austin’s Peter Stone, who argues the calculator didn’t replace math teachers, it just required them to change the way they teach; the same will be true with AI tools.)
• Opinion: College students are dropping out in droves. Two sisters could fix that. (https://www.washingtonpost.com/opinions/2024/05/01/edsights-college-ai-student-retention/) , Washington Post (One company is using AI to help universities regularly check in with and support students to boost retention.)
—Episode Credits—
• Our co-hosts are Marc Airhart, science writer and podcaster in the College of Natural Sciences and Casey Boyle, associate professor of rhetoric and director of UT’s Digital Writing & Research Lab (http://www.dwrl.utexas.edu/).
• Executive producers are Christine Sinatra and Dan Oppenheimer.
• Sound design and audio editing by Robert Scaramuccia. Theme music is by Aiolos Rue. Interviews are recorded at the @LiberalArtsUT ITS recording studio.
• Cover image for this episode generated with Midjourney, a generative AI tool.
—About AI for the Rest of Us—
AI for the Rest of Us is a joint production of The University of Texas at Austin’s College of Natural Sciences and College of Liberal Arts. This podcast is part of the University’s Year of AI (https://yearofai.utexas.edu/) initiative. The opinions expressed in this podcast represent the views of the hosts and guests, and not of The University of Texas at Austin. You can listen via Apple Podcasts (https://podcasts.apple.com/us/podcast/ai-for-the-rest-of-us/id1749168252), Spotify (https://open.spotify.com/show/2Z3Ut7PMH5RmRcr45wI1A7), Amazon Podcasts (https://music.amazon.com/podcasts/1197b991-2383-42f1-af69-e88138facaf2/ai-for-the-rest-of-us), RSS (https://feeds.simplecast.com/ak gU6w), or anywhere you get your podcasts. You can also listen on the web at aifortherest.net (http://aifortherest.net/). Have questions or comments? Contact: mairhart[AT]austin.utexas.edu
#TexasAI #YearofAI #Podcast #SciencePodcast #AIForTheRestOfUs #ArtificialIntelligence The University of AI](https://i.ytimg.com/vi/X9IIPcSuFNA/mqdefault.jpg)

