Paths of Curiosity in an AI World

Welcome to Paths of Curiosity in an AI World — a podcast created by two sisters who wanted to understand what the future of work actually looks like before they got there. We started this show because we kept hearing about AI changing everything, but nobody was explaining what that meant for real careers, in plain language, for students our age. So we decided to find out ourselves — by going directly to the people living it. Each quarter, we release a focused mini-series diving deep into one major domain: Health & Life Sciences , Law & Governance , Creativity & Culture , and E ngineering & the Physical World . You'll hear from working professionals who break down what their jobs actually look like today, how AI fits into their work right now, and where they see their fields heading over the next decade. We're student

Paths of Curiosity in an AI World is a education podcast hosted by Acadia and Alora Holve, with 17 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Acadia and Alora Holve hosts Paths of Curiosity in an AI World, a education show with 17 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

• 

  Episode #4

  Q3 - AI in Data, Behavior, and Human Systems with Jathan Sadowski, PhD

  Aug 17, 202652 minS3

  Sorted, Scored, and Steered: The Political Economy of AI With a Real Luddite Paths of Curiosity in an AI World You've been sorted, scored, and steered by systems you never agreed to. Someone built those systems. Someone profits from them. And the word we've been taught to use as an insult is actually the most precise tool we have to fight back. In this episode, we continue our AI, Data, Behavior, and Human Systems miniseries with Dr. Jathan Sadowski, Associate Professor and ARC Future Fellow at Monash University's Emerging Technologies Research Lab and author of Too Smart: How Digital Capitalism is Extracting Data, Controlling Our Lives, and Taking Over the World, and The Mechanic and the Luddite: A Ruthless Criticism of Technology and Capitalism. Together, we explore: What the original Luddites actually believed — and why recovering that history changes how you think about AI resistance today How smart technologies from school laptops to John Deere tractors are built around two imperatives: extracting data and expanding control What it means that your data isn't just collected but accumulated like capital — and what that means for someone who has been datafied since childhood The landlord model of tech platforms, and how AI deepens a system where you rent access to the infrastructure your life depends on Why "the algorithm did it" is always a lie — and who is actually making decisions about your life behind it What the Marie Kondo test for technology actually looks like in practice Dr. Sadowski also shares his own sliding-door moment: a single philosophy elective at a technology university that pulled him out of a polymer chemistry degree and onto a path he never could have planned — studying the systems that shape all of our lives before most people knew those systems existed. This conversation will change how you think about every platform you use, every form you sign, and every choice a company tells you that you're making freely. Because in a world designed to prevent you from thinking critically about it, the most radical thing you can do is ask: does this thing actually make my life better? Paths of Curiosity in an AI World Exploring tomorrow’s careers through the lens of AI Follow us: @pathsofcuriosity Website: https://pathsofcuriosity.com/ Youtube: youtube.com/@PathsofCuriosity X: https://x.com/PathsCuriosity LinkedIn: https://www.linkedin.com/in/paths-of-curiosity-in-an-ai-world-2117803aa/

  ListenShow Notes
• 

  Paths of Curiosity in an AI World

  Q3 - AI in Data, Behavior, and Human Systems with Alex Rosenblat, BA, MA

  Aug 4, 202633 min

  Inside the Algorithm: What 5,000 Miles With Gig Workers Taught One Researcher About Power, Control, and Design Paths of Curiosity in an AI World What if the app that decides your Uber driver's next ride was specifically designed to make them feel free while controlling almost everything they do? Dr. Alex Rosenblat spent seven years finding out. In this episode, we continue our AI, Data, Behavior, and Human Systems miniseries with Dr. Alex Rosenblat, Director of Sociotechnical Research at The Markup and Cal Matters, and author of Uberland: How Algorithms Are Rewriting the Rules at Work. She rode over five thousand miles with gig workers across twenty-five cities, then did something almost no outside researcher has ever done — she went inside Uber to try to change it. Together, we explore: How algorithmic management gives companies total control over workers without ever having to call them employees Why drivers crowdsource the rules in online forums because the platform never actually tells them what the rules are What dark patterns look like in the real world — from gig apps to hospital registration tablets — and how they steer choices you didn't know were being steered What happened when Dr. Rosenblat tried to get a copy of her own child's hospital consent forms after surgery Why surveillance pricing — getting charged a different amount than the person standing next to you — may be the most underreported story in tech right now What ethnography gives researchers that no dataset ever could Dr. Rosenblat also reflects on what it means to study a system from the outside, work inside it, and come back out to investigate again — and why understanding how every stakeholder thinks is the skill most researchers never develop. This conversation will change how you read every form you're handed, every app you open, and every choice a platform tells you that you're making freely. Because in a world where design is policy, the most important question isn't what the system can do — it's what it's been built to make you do without noticing. Paths of Curiosity in an AI World Exploring tomorrow’s careers through the lens of AI Follow us: @pathsofcuriosity Website: https://pathsofcuriosity.com/ Youtube: youtube.com/@PathsofCuriosity X: https://x.com/PathsCuriosity LinkedIn: https://www.linkedin.com/in/paths-of-curiosity-in-an-ai-world-2117803aa/

  ListenShow Notes
• 

  Episode #2

  Q3 - AI in Data, Behavior, and Human Systems with Aaron Klein, AB, MPA

  Jul 22, 202651 minS3

  Paths of Curiosity in an AI World For decades, banks discriminated against borrowers in person. Then algorithms inherited those same biases and made them invisible. Aaron Klein says AI could finally fix that — or make it far worse. In this episode, we continue our AI and Human Decision-Making: Choices, Bias, and Behavior miniseries with Aaron Klein, Miriam K. Carliner Chair and Senior Fellow in Economic Studies at the Brookings Institution, former Deputy Assistant Secretary for Economic Policy at the U.S. Treasury Department, and former Chief Economist of the Senate Banking Committee — a person who helped write the laws that govern the financial system you're already living inside. Together, we explore: What actually happens in the first seconds after you apply for a credit card — and why a mysterious black box number you've never heard of may already be shaping your financial life How banks once decided loans in person, face to face, and why that created the discrimination that federal law was written to stop What your device, your email address, your shopping hours, and even your name might already be telling a lender about you — before you've said a word Why the same characteristic — gender — is perfectly legal in car insurance but completely illegal in credit cards, and what that contradiction reveals about how financial rules actually get made How AI could finally extend credit to people the current system has locked out for generations — and what's standing in the way Why the entire financial system is tuned to an out-of-tune oboe, and how hard it is to get everyone to retune at once Klein also shares his own path from organizing his rundown high school in Silver Spring, Maryland to the Senate Banking Committee to the Treasury Department during the 2008 financial crisis — and why the only two professions people describe as a calling are the priesthood and public service. This conversation will change how you think about every financial decision you make — and every decision already being made about you. Because in a world where an algorithm decides whether you get a loan before a human ever looks at your name, the question isn't just whether the system is fair. It's whether anyone with the power to change it actually will. Paths of Curiosity in an AI World Exploring tomorrow’s careers through the lens of AI Follow us: @pathsofcuriosity Website: https://pathsofcuriosity.com/ Youtube: youtube.com/@PathsofCuriosity X: https://x.com/PathsCuriosity LinkedIn: https://www.linkedin.com/in/paths-of-curiosity-in-an-ai-world-2117803aa/

  ListenShow Notes
• 

  Paths of Curiosity in an AI World

  Q2 - AI in Data, Behavior, and Human Systems with Syon Bhanot, PhD

  Jul 7, 202645 min

  Paths of Curiosity in an AI World Exploring tomorrow’s careers through the lens of AI Follow us: @pathsofcuriosity Website: https://pathsofcuriosity.com/ Youtube: youtube.com/@PathsofCuriosity X: https://x.com/PathsCuriosity LinkedIn: https://www.linkedin.com/in/paths-of-curiosity-in-an-ai-world-2117803aa/

  ListenShow Notes
• 

  Episode #7

  Q2 - Power, Law, and Civic Life: When Algorithms Govern Your Life Miniseries Recap

  Jun 23, 202627 minS2

  AI, Power, and the Laws That Haven't Caught Up Yet: A Miniseries Recap Paths of Curiosity in an AI World A 17-year-old boy had never been arrested. Never charged with anything. Never convicted of anything. But he was in a secret intelligence file, flagged by an algorithm as likely to become a criminal — and officers were showing up at his door before he had done a single thing wrong. This is one story from one county. Seventeen thousand kids had their data in that system. In this recap episode, Alora and I revisit all six conversations from our AI, Power, Law, and Civic Life miniseries — and ask what they add up to. Together, we work through: Why winning a landmark Supreme Court case on digital privacy didn't actually close the door — and how law enforcement found a workaround before the ink was dry What algorithmic wage discrimination means for anyone who has ever picked up a gig shift, and why there is currently nothing stopping platforms from using a desperation score How a deepfake audio clip requiring minutes to generate and nothing to detect could already decide a custody case Whose values actually get encoded into the platforms billions of people use — and what happens to democracy when algorithms replace shared reality Why the kids being flagged by predictive policing were the same kids the system had already failed What it means that lawyers are only reaching ten percent of the Americans who need them — and whether AI finally changes that math We also trace the career paths of all six guests, because none of them were straight. A field organizer who became a Supreme Court advocate. A clinical psychologist who went back to law school in her thirties. An engineer who spent six months on the Silk Road with cassette tapes and came back asking different questions entirely. The combination that feels random right now might be exactly what makes you irreplaceable later. This conversation is for anyone who has spent this quarter wondering where they fit in a field being rewritten in real time. Because the legal frameworks for the AI era are being written right now. The tools that courts will use are being designed right now. The policy decisions are being made right now. By people — which means students who are curious have a place in this. Paths of Curiosity in an AI World Exploring tomorrow’s careers through the lens of AI Follow us: @pathsofcuriosity Website: https://pathsofcuriosity.com/ Youtube: youtube.com/@PathsofCuriosity X: https://x.com/PathsCuriosity LinkedIn: https://www.linkedin.com/in/paths-of-curiosity-in-an-ai-world-2117803aa/

  ListenShow Notes

Recent guests on Paths of Curiosity in an AI World. Study who booked and why before you pitch.

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.