AI has brought new challenges for corporate executives in managing their workforces and supply chains. Flex CEO Revathi Advaithi tells WSJ reporter Emily Glazer how she is adjusting to uncertainty and gives her outlook on the future of the workplace and manufacturing. This conversation was recorded at WSJ’s CEO Council Summit on December 12, 2023.  What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com Further reading: Leading in Uncertain Times  Sam Altman Seeks Trillions of Dollars to Reshape Business of Chips and AI  Logistics-Tech Startups Face Uncertain Future as Freight Slump Continues  The Do’s and Don’ts of Using Generative AI in the Workplace  Learn more about your ad choices. Visit megaphone.fm/adchoices

Badge swipes and passwords are cornerstones of security in the modern workplace. But in a world where security is increasingly tied to biometrics and personal devices, your face or fingerprint may soon become the key to workplace security. While biometrics could provide better protection for sensitive information than an easily forgettable password, what are the privacy risks of biometric tech going mainstream? WSJ’s Danny Lewis explores the future of biometric security at work, and whether it could even go beyond face scans and fingerprints. What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com  Further reading: Your Face Is Your Ticket: A Creepy Convenience  Apple Makes Security Changes to Protect Users From iPhone Thefts  Rite Aid Banned From Using AI Facial Recognition in FTC Settlement  What Is the Future of Identity Verification?  Learn more about your ad choices. Visit megaphone.fm/adchoices

Will the human resources department be replaced by robots? Not quite, but the use of generative artificial intelligence in HR is on the rise. WSJ reporter Chip Cutter tells us how companies are incorporating AI tools internally and what might change in the future. Plus, we hear from Reshma Saujani, the founder of Girls Who Code and Moms First, who recently introduced paidleave.ai, a free AI-powered chatbot designed to help workers navigate paid family leave benefits. Saujani tells WSJ’s Charlotte Gartenberg about what she sees as the potential risks and benefits of AI in the workplace. What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com  Further reading:  New York City Passed an AI Hiring Law. So Far, Few Companies Are Following It.  How AI Will Change the Workplace  HR Departments Turn to AI-Enabled Recruiting in Race for Talent  The Do's and Don'ts of Using Generative AI in the Workplace Learn more about your ad choices. Visit megaphone.fm/adchoices

Nvidia's Jensen Huang is Silicon Valley's longest tenured CEO, and his company recently joined the trillion dollar club. But if he knew at the start what he knows now, would he do it all again? WSJ Science of Success columnist Ben Cohen explains Huang’s approach to success and what that might mean for tomorrow's entrepreneurs. What do you think about the show? Let us know on Apple Podcasts or Spotify, or e mail us: FOEPodcast@wsj.com  Further reading:  He Built a Trillion-Dollar Company. He Wouldn’t Do It Again.  Tech’s ‘Magnificent Seven’ Stocks Are Back on Top  Markets Analysis: Nvidia Stock Jumps to Record High  Learn more about your ad choices. Visit megaphone.fm/adchoices

Fake images are already turning heads online, and Hany Farid, a professor of computer science at the University of California, Berkeley, says we’re only going to see more of it. Farid specializes in image analysis and digital forensics. He tells WSJ’s Alex Ossola why it’s so easy to use generative AI to create convincing fake images, and why it could cause problems in the future. Plus, he discusses the potential tech solutions that will help us decipher whether an image or video we’re seeing online is too good to be true.  What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com  Further reading:  Real or AI? The Tech Giants Racing to Stop the Spread of Fake Images  Reality Is Broken. We Have AI Photos to Blame.  A New Way to​ Tell Deepfakes From Real Photos: Can It Work?  AI-Created Images Are So Good Even AI Has Trouble Spotting Some  Sharing Fake Nude Images Could Become a Federal Crime Under Proposed Law  Learn more about your ad choices. Visit megaphone.fm/adchoices

AI voice assistants like Apple’s Siri and Amazon’s Alexa have become part of our everyday lives. But for people with atypical voices, including those with conditions like Parkinson’s disease and muscular dystrophy, these tools can be frustrating to use. Now a number of big tech companies including Amazon and Google, as well as research organizations are coming up with ways to make them more useful. What will it take to create voice assistants that work for everyone right out of the box?  What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com  Further reading: Tech Firms Train Voice Assistants to Understand Atypical Speech  Amazon Makes Alexa Chattier and More Capable Using Generative AI   Alexa, Siri, Cortana: Why All Your Bots Are Female    Deep Speech: Scaling up end-to-end speech recognition (2014, arXiv)   Librispeech: An ASR corpus based on public domain audio books (2015, IEEE International Conference)   Speech Accessibility Project from the University of Illinois Urbana-Champaign Learn more about your ad choices. Visit megaphone.fm/adchoices

One of AI’s biggest, unsolved problems is what the advanced algorithms should do when they confront a situation they don’t have an answer for. For programs like Chat GPT, that could mean providing a confidently wrong answer, what’s often called a “hallucination”; for others, as with self-driving cars, there could be much more serious consequences. But what if AIs could be taught to recognize what they don’t understand and adjust accordingly? Usama Fayyad, the executive director for the Institute for Experiential Artificial Intelligence at Northeastern University thinks this could be the algorithmic answer to making future AIs better at what they do, by doing something too few humans can: recognizing their own limits. What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com  Further reading: How Did Companies Use Generative AI in 2023? Here’s a Look at Five Early Adopters.  Your Medical Devices Are Getting Smarter. Can the FDA Keep Them Safe?  Artificial: The OpenAI Story  Learn more about your ad choices. Visit megaphone.fm/adchoices

Sail-powered cargo ships are making waves on the seas. High-tech versions of old tools are being installed on existing cargo ships in order to reduce fuel costs and help decarbonize the industry, which currently generates 3% of all human-created greenhouse gasses. Retrofitting cargo ships with sails could make maritime shipping greener and cheaper, and even change how the complicated shipping industry works. WSJ host Danny Lewis reports. What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com Further reading: Old-School Wind Power Is Back for Cargo Shipping  Shipping Regulator to Steer Clear of Stricter Rules on Carbon Emissions  Fertilizer Companies Are Betting on Ammonia as a Low-Carbon Fuel  Learn more about your ad choices. Visit megaphone.fm/adchoices

Breast milk imparts a number of long-term health benefits to babies, including a lower risk of asthma, obesity, Type 1 diabetes and sudden infant death syndrome (SIDS), according to the Centers for Disease Control and Prevention. But for a variety of reasons, many parents turn to formula. Now, several startups such as BIOMILQ and Helaina are working on new kinds of infant nutrition products that promise to better mimic parts of human breast milk—and may lead to advances in adult nutrition along the way. But to bring artificial breast milk to market, they’ll need to do some tough science and overcome regulatory and ethical hurdles.  What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com  Further reading:  The ‘Arms Race’ to Build a Better Baby Formula  Baby-Formula Shortage Worsened by Drop in Breast-Feeding Rates  Baby-Formula Makers Face FTC Investigation for Collusion Learn more about your ad choices. Visit megaphone.fm/adchoices

The next generation of nuclear power plants could be tiny, and that could mean big things for carbon-free electricity. Several companies including NuScale Power and Bill Gates’ TerraPower are developing small modular reactors that promise to be more adaptable than the towering conventional nuclear power plants. After years of development and growing investment, the first of these next-generation reactors could go online by 2030. But will their promises to provide safe and plentiful energy live up to the hype, and overcome the economic challenges of their predecessors? WSJ’s Danny Lewis looks at what small reactors could mean for the business of nuclear power and how you get your electricity.  What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com  Further reading:  A Futuristic Plan to Make Steel With Nuclear Fusion  Nuclear Power Is Staging a Comeback, but Is It Affordable and Safe?  OpenAI’s Sam Altman Is Taking a Nuclear-Energy Startup Public  Nuclear Power Is Poised for a Comeback. The Problem Is Building the Reactors.  Learn more about your ad choices. Visit megaphone.fm/adchoices