PODCAST · business
Tepperspectives
by the Tepper School of Business
The Tepperspectives Podcast is a conversation with researchers, experts, and thought leaders in the business disciplines. Join us for insights into how artificial intelligence and machine learning intersect with economics, management science, and organizational behavior. Tepperspectives is guided by The Intelligent Future℠, a data-informed and human-driven approach to innovation and problem solving for today and tomorrow.
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9
"Who Knows What" in Emergency Teams Can Improve Outcomes for Trauma Patients
In trauma bays, a team’s collective mind often matters more than individual skill. A recent study by Tepper School Professor Linda Argote and colleagues from the University of Pittsburgh, the Virginia Hospital Center, the Frankfurt School of Finance and Management, and Washington University in St. Louis found that teams with a strong transactive memory system, which is a shared understanding of each member's expertise, significantly improve patient outcomes. By analyzing emergency video recordings, researchers discovered that teams accustomed to working together function as a synchronized unit, anticipating moves to reduce ICU stays by nearly two days and overall hospitalization by more than three. In short, knowing "who knows what" saves lives and speeds recovery.Read the full paper, "Transactive Memory Systems and Hospital Trauma Team Performance: Shared Experience in Action Teams," in Organization ScienceRead the press release: Shared Experience in Trauma Teams Links Directly to Improved Patient OutcomesVisit Tepperspectives for more thought leadership.###The Tepperspectives Podcast received generous support from the MBA Class of 2016 Technology Fund.
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8
Can AI Really Transform Supply Chains?
Tepper School Professor Sridhar Tayur and Tinglong Dai, Tepper School graduate and Johns Hopkins professor, join Emily DeJeu to discuss how AI can help improve supply chains, but also why it can't solve every problem.
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7
Grok, Ethics, and Generative AI
What should users consider when using generative AI to create or manipulate images of other people? What policies should companies adopt to ensure that their products don't cause harm? Ethicist Derek Leben joins the Tepperspectives podcast to discuss.Links to news, ideas, and concepts in the episode:Derek Leben's book, AI Fairness: Designing Equal Opportunity Algorithms from MIT Press: https://mitpress.mit.edu/9780262552363/ai-fairness/Center for Countering Digital Hate report: https://counterhate.com/research/grok-floods-x-with-sexualized-images/Utilitarianism: https://plato.stanford.edu/entries/utilitarianism-history/Liberitarianism: https://plato.stanford.edu/entries/libertarianism/The Nash Equilibrium: https://www.investopedia.com/terms/n/nash-equilibrium.aspParteto Efficiency/Optimality: https://en.wikipedia.org/wiki/Pareto_efficiency
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6
AI and Transactive Memory Systems
Tepper School doctoral student Pim Assavabhokhin speaks with Professor Emily DeJeu about how AI can enhance short-term decision accuracy and transactive memory systems to improve team speed, but over-reliance on technology can create a dependency. tepperspetives.cmu.educmu.edu/tepper
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5
What is Responsible AI Use?
Tepper School researchers Taya Cohen and Sofía Rodríguez Chaves look at how ethics and moral character influence responsible AI use in the absence of policy or regulations.To learn more about the Center for Intelligent Business, please visit: https://www.cmu.edu/intelligentbusiness/ For more thought leadership from the Tepper School of Business at Carnegie Mellon University, please visit: https://tepperspectives.cmu.edu
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4
Changing The Game With NIL
We can use this as the description: Professor Tim Derdenger joins the Tepperspectives Podcast to discuss the impact that name, image, and likeness (NIL) have on college sports. In "Does Personalized Pricing Increase Competition? Evidence from NIL in College Football," Derdenger and his co-author Ivan Li examine how the results from NIL deals have done the opposite of expectations by dispersing talent and increasing competition in college football.
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3
Is AI Taking Jobs or Making Them Easier?
Emily DeJeu, Assistant Teaching Professor of Business Communication, speaks with Brandy Aven, Associate Professor of Organizational Behavior and Theory, about the evolving role of artificial intelligence in business and the workplace. In the past few months, several companies and company leaders have floated the idea of reducing the workforce and giving those jobs to AI. What are the positive and negative aspects of this? What are the advantages and disadvantages of incorporating AI into the workplace? Also, what are the conversations that we should be having about AI that we’re not?
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2
Tariffs and Consequences
Tariffs have become a household word in the last few months, but the situation and questions around tariffs is getting more complex. Associate professor of economics Ali Shourideh discusses the current situation with US tariffs and their effect on businesses, consumers, and international trade.
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1
Fair and Efficient?
Carnegie Mellon University professors John Hooker (Tepper School of Business) and Peter Zhang (Heinz College of Information Systems and Public Policy) join the Tepperspectives Podcast to discuss their new book, The Structure of Fair Solutions, co-authored with Tepper School alumnus Özgün Elçi. The Structure of Fair Solutions introduces a mathematical framework for building ethical optimization models that balance efficiency with fairness, providing practical tools and a new way to evaluate the societal impact of algorithmic decisions.
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ABOUT THIS SHOW
The Tepperspectives Podcast is a conversation with researchers, experts, and thought leaders in the business disciplines. Join us for insights into how artificial intelligence and machine learning intersect with economics, management science, and organizational behavior. Tepperspectives is guided by The Intelligent Future℠, a data-informed and human-driven approach to innovation and problem solving for today and tomorrow.
HOSTED BY
the Tepper School of Business
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