Uploaded July 2024 | Updated September 2026, 2 weeks ago
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 (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 (thedragaudio.com/category/generation-ai/). It’s produced by our friends over at @thedragaudio (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 (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 (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, (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 (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 (podcasts.apple.com/us/podcast/ai-for-the-rest-of-us/id1749168252), Spotify (open.spotify.com/show/2Z3Ut7PMH5RmRcr45wI1A7), Amazon Podcasts (music.amazon.com/podcasts/1197b991-2383-42f1-af69-e88138facaf2/ai-for-the-rest-of-us) , RSS (feeds.simplecast.com/ak__gU6w), or anywhere you get your podcasts. You can also listen on the web at aifortherest.net (aifortherest.net/). Have questions or comments? Contact: mairhart[AT]austin.utexas.edu
#TexasAI #YearofAI #Podcast #SciencePodcast #AIForTheRestOfUs #ArtificialIntelligence
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 (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 (thedragaudio.com/category/generation-ai/). It’s produced by our friends over at @thedragaudio (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 (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 (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, (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 (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 (podcasts.apple.com/us/podcast/ai-for-the-rest-of-us/id1749168252), Spotify (open.spotify.com/show/2Z3Ut7PMH5RmRcr45wI1A7), Amazon Podcasts (music.amazon.com/podcasts/1197b991-2383-42f1-af69-e88138facaf2/ai-for-the-rest-of-us) , RSS (feeds.simplecast.com/ak__gU6w), or anywhere you get your podcasts. You can also listen on the web at aifortherest.net (aifortherest.net/). Have questions or comments? Contact: mairhart[AT]austin.utexas.edu
#TexasAI #YearofAI #Podcast #SciencePodcast #AIForTheRestOfUs #ArtificialIntelligence






![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)


![Is it Time to Regulate AI?
Today on AI for the Rest of Us, we’re talking about AI and the law. What are the biggest risks of AI that are not currently regulated? Do the makers of AI chatbots like ChatGPT owe something to content creators whose material was scraped to train the models? What kinds of things could we do to make AI safer and more useful for everyone? And could too much regulation stifle innovation and US competitiveness?
Matthew Murrell (https://law.utexas.edu/faculty/john-m-murrell/biography/) is a lawyer and lecturer in @UTexasLaw who is teaching a new class on the Law of AI (https://law.utexas.edu/courses/class-details/20249/28669/) in fall 2024. According to Murrell, one of the biggest risks of AI that isn’t currently regulated is aggregation, the ability for companies to assemble copious amounts of data about a person to build a rich profile of their life, which could be misused by nefarious actors. He noted another top concern: automated decision-making tools that perpetuate discrimination against historically marginalized people. He said in many cases, AI doesn’t present entirely new legal questions, just new twists on old questions. And he predicts that in the near term, most new regulations will likely be amendments to existing laws.
—Dig Deeper—
• The Times Sues OpenAI and Microsoft Over A.I. Use of Copyrighted Work (https://www.nytimes.com/2023/12/27/business/media/new-york-times-open-ai-microsoft-lawsuit.html), New York Times (Dec. 2023)
• California Legislature Approves Bill Proposing Sweeping A.I. Restrictions (https://www.nytimes.com/2024/08/28/technology/california-ai-safety-bill.html), New York Times (Aug. 2024) (Governor Newsom will have until Sept. 30 to consider whether to sign the bill into law)
• Microsoft calls for new laws on deepfake fraud, AI sexual abuse images (https://www.washingtonpost.com/politics/2024/07/30/microsoft-ai-deepfake-law-fraud/), Washington Post (July 2024)
—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 using Midjourney and 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 @UTAustin Is it Time to Regulate AI?](https://i.ytimg.com/vi/YdD2-Lhcqd4/mqdefault.jpg)
![Live Show: AI + Energy
AI takes a huge amount of energy to run and could make it harder to fight climate change. On the other hand, AI could help make our energy systems more sustainable, efficient and safer. Three experts talk all things AI and energy with a live audience. The talk was part of a daylong symposium titled “Policy Leadership in the Age of AI (https://lbj.utexas.edu/policy-leadership-age-ai-symposium)”, hosted by the LBJ School of Public Affairs at The University of Texas at Austin.
Meet the panelists:
• Michael Pyrcz (https://michaelpyrcz.com/) is a professor in UT’s Cockrell School of Engineering and the Jackson School of Geosciences, who researches and teaches about ways to apply data analytics and machine learning to improve the exploration and safe production of minerals, groundwater and conventional energy, a.k.a. oil and gas. He also shares educational content on YouTube and elsewhere under the alias @GeostatsGuyLectures.
• Varun Rai (https://lbj.utexas.edu/rai-varun) is a professor in UT’s LBJ School who studies the spread of clean energy technologies and how real-world factors – from economics to politics to regulation to social behaviors – drive the adoption of these technologies.
• Rob James (https://www.pillsburylaw.com/en/lawyers/robert-james.html) is an attorney at the law firm Pillsbury, who leads a number of energy and infrastructure projects for the firm in Texas and California. Those projects have included AI data centers and zero-emission power generation and storage.
—Dig Deeper—
• The A.I. Power Grab (https://www.nytimes.com/2024/10/22/climate/ai-big-tech-emissions.html), NYTimes (Oct. 2024)
• A bottle of water per email: the hidden environmental costs of using AI chatbots (https://www.washingtonpost.com/technology/2024/09/18/energy-ai-use-electricity-water-data-centers/), Washington Post (Sep. 2024)
• Four ways AI is making the power grid faster and more resilient (https://www.technologyreview.com/2023/11/22/1083792/ai-power-grid-improvement/), MIT Technology Review (Nov. 2023)
• Microsoft deal would reopen Three Mile Island nuclear plant to power AI (https://www.washingtonpost.com/business/2024/09/20/microsoft-three-mile-island-nuclear-constellation/), Washington Post (Sep. 2024)
• Extreme Weather Is Taxing Utilities More Often. Can A.I. Help? (https://www.nytimes.com/2024/09/27/climate/power-outages-utilities-ai.html), New York Times (Sep. 2024)
• Fixing AI’s energy crisis (https://www.nature.com/articles/d41586-024-03408-z) , Nature (focused on reducing computer hardware’s power consumption - Oct. 2024)
• A.I. Needs Copper. It Just Helped to Find Millions of Tons of It. (https://www.nytimes.com/2024/07/11/climate/kobold-zambia-copper-ai-mining.html), New York Times (July 2024)
• AI is poised to drive 160% increase in data center power demand (https://www.goldmansachs.com/insights/articles/AI-poised-to-drive-160-increase-in-power-demand), Goldman Sachs (May 2024)
—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.
• The cover photo for this episode is by Thomas Meredith, courtesy of LBJ School of Public Affairs.
• Photos from Policy Leadership in the Age of AI Symposium (https://www.flickr.com/photos/thelbjschool_ut/albums/72177720320989647/) (Oct. 2024)
—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 @UTAustin @CockrellSchool @TheLBJSchool @PillsburyLaw @JSGUTAUSTIN Live Show: AI + Energy](https://i.ytimg.com/vi/YqnNZgxsa_k/mqdefault.jpg)