Artificial intelligence could fundamentally transform democracy for better or worse. In this bonus episode of If/Then: Business, Leadership, Society, Professor Andrew B. Hall of Stanford Graduate School of Business explores AI's potential to disrupt our electoral system. With the 2024 presidential election approaching, Hall warns that AI-generated misinformation could sway voters and erode trust in democratic processes. Yet he also sees AI's potential to solve political challenges. If we want to maintain a healthy democracy, then it’s crucial to understand AI's impact on our political landscape in the upcoming election and beyond.

Key Takeaways:

• AI's potential for misinformation: Professor Hall warns that AI-generated content misinform voters, potentially influencing election outcomes.
• Threat to democratic integrity: The possibility of AI-driven misinformation could erode trust in the fairness and integrity of democratic processes, leading to decreased acceptance of election outcomes.
• AI's dual nature in politics: While AI poses significant risks, Hall also thinks it could provide solutions to existing political problems, suggesting it will have a complex, double-edged impact on democracy.

More Resources:

• Andrew Hall, faculty profile
• White Paper: Preparing for Generative AI in the 2024 Election: Recommendations and Best Practices Based on Academic Research, By Ethan Bueno de Mesquita, Brandice Canes-Wrone, Andrew B. Hall, Kristian Lum, Gregory J. Martin, Yamil Ricardo Velez, Stanford Graduate School of Business and the University of Chicago Harris School of Public Policy, November 2023

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. For a full transcript of this episode, visit our podcast’s website.

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One underappreciated fact about the explosion in genetic databases, like consumer sites that provide information about ancestry and health, is that they unlock valuable insights not only into an individual’s past and future, but also for that individual’s entire family.

This raises serious concerns about privacy for people who have never submitted their genetic information for analysis, yet share much the same code as one who did.

This week on If/Then, we’re sharing an interview from The Future of Everything with Stanford GSB Professor Kuang Xu. Xu is an expert in how genetic information can and should be used. He says that the DNA problem weighs heavily on privacy experts in fields ranging from law and engineering to public health and criminal justice.

The fundamental question is: Can we create methods for accessing genetic data while maximizing the privacy of all involved?

The Future of Everything is Produced by Stanford Engineering. For a full transcript of this episode, visit The Future of Everything’s website.

Chapters:

(00:00:00) Introduction

Host Kevin Cool introduces an episode featuring The Future of Everything podcast with host Russ Altman and guest Kuang Xu, a professor at the GSB.

(00:03:24) Genetic Technology and Privacy Risks

The key ideas and methodology behind making genetic searches more private.

(00:06:23) Social Network and Genealogy in Genetic Searches

How a genealogy network functions as a social network in genetic searches.

(00:09:23) Technical Aspects of Securing Genetic Data

The difference between sequential and static methods for genetic searches.

(00:11:19) Practical Application of Sequential Methods

Ways the sequential search method could be applied without compromising privacy.

(00:12:43) First Steps in Sequential Search

What the first steps would look like when using the sequential search method.

(00:14:41) Balancing Accuracy and Privacy

Whether the new privacy methods compromise accuracy in identifying individuals.

(00:15:22) Applications in Genetic Research

How privacy methods can apply to genetic research for disease prediction and beyond.

(00:18:22) Insights During Research

Surprise findings from Kuang’s research on genetic privacy.

(00:21:28) Privacy Beyond Genetics

The possibility of applying these privacy techniques to other sensitive datasets.

(00:22:58) Commercial Interest in Privacy Solutions

The interest from companies in adopting these privacy innovations.

(00:24:09) Genetics and Business School Connection

Kuang’s work at Stanford’s School of Business and how it connects to genetics and privacy.

(00:25:30) Emergency Room Waiting Times

Research related to reducing waiting times in emergency rooms.

(00:26:57) In-Person Voting and COVID-19 Spread

Overview of data collected during in-person voting during COVID-19.

(00:27:54) Conclusion

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Power dynamics in the office can have an outsized impact on your career. When we talked to Deborah Gruenfeld in Season One of If/Then, she shared expert insights on navigating workplace power and influence. And some exciting news - that episode has been nominated for a Signal Award. Help us win a Listener Choice Award by casting your vote at stanford.io/ifthenpower. A log-in is required to vote. Thank you for helping us make this possible!

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This special episode of If/Then: Business, Leadership, Society explores the personal stories behind Stanford GSB faculty's groundbreaking research. Discover how individual experiences shape scholarly inquiry.

• Baba Shiv, professor of marketing, examines decision-making and the brain's liking and wanting systems. His self-proclaimed "irrational" nature led him to question whether good decisions are based on reason or emotion.
• Mohammad Akbarpour, professor of economics, found his passion in market design, seeing economics as "the right mix of thinking about humans and mathematics." His research on welfare economics stems from observing economic disparities in his native Iran.
• Deborah Gruenfeld, professor of organizational behavior, studies power dynamics inspired by her early career and family history. Her work reveals how even arbitrary positions of authority can dramatically alter behavior.

These faculty remind us that behind every groundbreaking theory are real people driven by curiosity to make sense of the world around them. Join us to hear how personal journeys fuel impactful business research.

Key Takeaways:

• Personal experiences shape research: Leading scholars draw inspiration from their own lives and observations, leading to innovative research questions and approaches.
• Challenging assumptions drives discovery: Researchers like Baba Shiv, Mohammad Akbarpour, and Deborah Gruenfeld push boundaries by questioning fundamental assumptions in their fields and themselves, leading to new insights.
• Human stories behind data: This episode reveals that even in data-driven fields like economics and organizational behavior, personal narratives and curiosity play a crucial role in shaping impactful research.

More Resources:

• Baba Shiv, faculty profile
• Mohammad Akbarpour, faculty profile
• Deborah Gruenfeld, faculty profile

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. For a full transcript of this episode, visit our podcast’s website: https://www.gsb.stanford.edu/insights/why-i-research-findings-fueled-head-heart

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Behavioral economist and Professor of Marketing Baba Shiv works with entrepreneurs on how to build a risk-tolerant mindset. A mindset, Shiv believes, that is crucial in times of crisis.

While we take a break and prepare for season two of If/Then, we're sharing an episode of Grit & Growth, a podcast from our partners at Stanford Seed. Here, Baba explains two types of mindsets: a fear of failure or a risk-averse mindset (type one) and a fear of missing out on opportunities mindset (type two).

“What the rational brain is good at is simply being rational ... it lists what the emotional brain has already decided to do. If you’re stuck in a risk-averse mindset, the rational brain will come in and say, 'These are the reasons why you should not innovate’ Whereas if you’re in a type two mindset, the rational brain will come in and say, 'Here are the reasons why you should take some chances.'”

And Shiv believes that taking chances, especially when your competitors are being more timid, is how leaders and companies can succeed. Shiv has seen firsthand that entrepreneurs from emerging economies are particularly innovative: “They’re facing constraints all the time and as a result are more resourceful, not in spite of their situations, but because of them.”

Shiv is the Sanwa Bank, Limited, Professor of Marketing at Stanford Graduate School of Business

Top Takeaways

1. Sleep. Without it, you’re more likely to wake up feeling risk-averse ... the antithesis to innovation.
2. Calm your mind and the rest will follow — develop a meditation, yoga, or tai chi practice to make your breath and brain more resilient to stress.
3. Pay attention to your heart—actually your heart rate variability — so you know if it’s a good time to make an important decision.
4. Innovation = creativity, multiplied by execution, divided by constraints. Don’t forget to think about your constraints in the design process.
5. Focus on building your collaborative advantage (not just competitive advantage) by developing meaningful connections with suppliers, customers, partners, even competitors. You’ll make more progress with relationships based on trust than just transactions.
6. Instill an innovative mindset throughout your company — survival is going to come from teamwork.

• On Grit & Growth, meet intrepid entrepreneurs from Africa and South Asia, hear their stories of trial and triumph, and gain insights and guidance from Stanford University faculty and global business experts on how to transform today’s challenges into tomorrow’s opportunities.
• Baba Shiv on If/Then Season One, "More Than a Feeling: The Keys to Making the Right Choice"

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It can be tempting to think one thing causes another because they happen in succession, but there’s a lot to unwrap in the idea of causality. This week, If/Then is featuring an episode from the podcast All Else Equal: Making Better Decisions. Listen as hosts and finance professors Jonathan Berk and Jules van Binsbergen explain the difference between correlation and causality, and examine cases where it is tempting to assume one thing caused another. Their guest for this episode, Guido Imbens, is a professor of Economics at Stanford Graduate School of Business, and was awarded the Nobel Prize in 2021.

All Else Equal: Making Better Decisions Podcast is a production of Stanford GSB and is produced by University FM. It is hosted by Jonathan Berk, The A.P. Giannini Professor of Finance at Stanford GSB, and Jules van Binsbergen, The Nippon Life Professor in Finance, Professor of Finance, at The Wharton School. Each episode provides insight into how to make better decisions.

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To wrap up the first season of If/Then: Business, Leadership, Society, we invited Senior Associate Dean Jesper B. Sørensen into the studio to talk about the importance of research at Stanford Graduate School of Business. He shares insights on what motivates faculty to study what they do and how it impacts practitioners across industries.

“One of the challenges of being a great researcher is that you need to move away again from this kind of day-to-day reality.… I think a gift that a lot of our faculty have is to be able to both live in that very abstract kind of world and then make it relatable to somebody who’s not living in that world,” Sørensen says.

“Sometimes putting fundamental insights into practice is really hard. One of the hallmarks of research is trying to isolate particular mechanisms through various kinds of control. Scientists live in the world where it’s a vacuum, and so we just watch the leaf fall and we can then time it and then tell you what the answer is,” Sørensen says. “And managers live in a world where the wind is blowing and there’s all these kinds of forces getting in the way.”

In his conversation with podcast host Kevin Cool, Sørensen also shares his thoughts on three episodes from If/Then’s first season.

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. Each episode features an interview with a Stanford GSB faculty member.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

While our team starts working on our second season, we'll still be sharing insights, bonus content, behind-the-scenes audio, and "class takeaways" from Stanford Graduate School of Business faculty throughout the summer. Stay Tuned!

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.