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Author: Recorded Future News

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The podcast that tells true stories about the people making and breaking our digital world. We take listeners into the world of cyber and intelligence without all the techie jargon. Every Tuesday and Friday, former NPR investigations correspondent Dina Temple-Raston and the team draw back the curtain on ransomware attacks, mysterious hackers, and the people who are trying to stop them.


380 Episodes
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Once someone believes a conspiracy theory, can anything change their mind? Researchers tried something unexpected: an AI chatbot. After just eight minutes of conversation, some conspiracy theorists were significantly less convinced. What did the bot know about changing minds that we don’t? Learn about your ad choices: dovetail.prx.org/ad-choices
Eliot Higgins built Bellingcat on a simple idea: give enough people the right tools, and they can figure out what really happened. It’s called open-source intelligence, or OSINT. But AI can now generate convincing fakes in seconds. Higgins tells us what happens when finding the truth becomes a race against the internet itself. Learn about your ad choices: dovetail.prx.org/ad-choices
States are passing age-verification laws designed to keep kids safer on social media. But figuring out who’s a kid means finding a way to check everyone’s age. Three decades after the first fights over kids’ rights online, we look at a new question: Could protecting minors end up changing the internet for all of us? Learn about your ad choices: dovetail.prx.org/ad-choices
A Texas company is testing drones designed to stop school shooters using sirens, strobe lights and pepper spray. The idea isn’t new. In 2022, Taser-maker Axon proposed putting drones in schools — a plan that led most of its AI Ethics Board to resign. We revisit our story about the fight over whether drones belong in schools — and what happens when a company’s own ethics advisers say it has gone too far. Learn about your ad choices: dovetail.prx.org/ad-choices
Generative AI can write, compose music and make art. But it learned by training on work made by humans — often without their permission. In this CyberMonday crossover with WAMU and NPR’s 1A, we ask: should we allow AI to train on human work? And if it does… what can we do about it? Learn about your ad choices: dovetail.prx.org/ad-choices
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