Radiotopia Presents: Bot Love brings us into communities of people who create deep bonds with their AI companions — and what this means for the rest of us. Hosts and reporters Anna Oakes and Diego Senior explore the nature of love, the fabric of human relationships, and the role that AI-driven chatbots — and the private companies that provide them — can play in people’s mental health.
The award-winning podcast In Machines We Trust thoughtfully examines the far-reaching impact of artificial intelligence on our daily lives. Hosted by Jennifer Strong, the series explores the rise of AI through the voices of people reckoning with the power of the technology, and by taking listeners up close with the inventors and founders whose ambitions are fuelling the development of new forms of AI, with consequences we’re only just beginning to understand.
Tech Won’t Save Us is an award-winning left-wing tech podcast that began in April 2020 during the first Covid lockdown. Since then, it’s gained a global listenership of tech workers, academics, journalists, and people who want a different perspective on an industry that holds so much power over their daily lives.
Data Skeptic launched as a podcast in 2014. Hundreds of interviews and tens of millions of downloads later, they are a widely recognised authoritative source on data science, artificial intelligence, machine learning, and similar topics.
One person, one interview, one story.
Join us as we explore the impact of AI on our world, one amazing person at a time—from the wildlife biologist tracking endangered rhinos across the savannah here on Earth to astrophysicists analyzing 10 billion-year-old starlight in distant galaxies to the Walmart data scientist grappling with the hundreds of millions of parameters lurking in the retailer’s supply chain.
Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!
Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, and more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Welcome to a fully AI-generated story podcast series facilitated by the team at This Is Distorted! In this groundbreaking series, every aspect of the show - from the writing to the sound design, artwork to the music and even this very description is created entirely by artificial intelligence.
There is a huge amount of evidence showing that human bias and ignorance is encoded into our digitally driven world. The impact of this is unsurprisingly impacting the most vulnerable communities the hardest – decisions on health care, employment and even police surveillance are now being made very often by machines. But can anything be done to stop this bias from getting any worse and can the current bias be removed?
(Part 1 of 3). Since the release of artificial intelligence tools like ChatGPT, it feels like no job is safe. AI can now write essays, generate computer code, and even pass the bar exam. Will work ever be the same again?
(Part 2 of 3). "In Part 1 of this series, AI proved that it could use real research and real interviews to write an original script for an episode of Planet Money. Our next task was to teach the computer how to sound like us. How to read that script aloud like a Planet Money host."
(Part 3 of 3). "So, how did the AI do? You'll have to listen to learn what went surprisingly well, where it fell short, and hear reactions from the real-life hosts whose jobs could be at risk of being replaced by the machines."
When Stuart Russell gave the 2021 Reith lectures, he said that artificial intelligence could represent “the most profound change in human history”. Since then, AI technologies have been developing faster than anyone expected. Professor Russell sits down with Anita Anand to discuss what’s going on – and how worried we should be.
What happened when a AI creative posted deepfake audio of Jay-Z rapping Shakespeare on YouTube? Can a synthetic voice be copyrighted? Who owns the art that AI produces? Henry Ajder unpicks the creative and legal implications