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The Darth Vader and Luke Skywalker of AI: How False Positive and False Negative Results Impact Our Lives

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Contenuto fornito da Peter Rehnke. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Peter Rehnke o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Welcome to this episode of CXM Evangelist, where we explore the fascinating world of false negative and false positive results in AI and machine learning. With the increasing prevalence of algorithms in various industries, from healthcare to finance to transportation, it's important to understand the benefits and limitations of these powerful tools. While algorithms offer many benefits, they are not without their flaws, and one of the biggest challenges is achieving the delicate balance between sensitivity and specificity.
In this episode, we'll delve into the world of sensitivity and specificity, and discover how humans and algorithms can work together to achieve the best results. We'll also explore some real-world examples of false negative and false positive results, and discuss the implications for patients, consumers, and society as a whole.

  continue reading

18 episodi

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Fetch error

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Manage episode 373780190 series 3470441
Contenuto fornito da Peter Rehnke. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Peter Rehnke o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Welcome to this episode of CXM Evangelist, where we explore the fascinating world of false negative and false positive results in AI and machine learning. With the increasing prevalence of algorithms in various industries, from healthcare to finance to transportation, it's important to understand the benefits and limitations of these powerful tools. While algorithms offer many benefits, they are not without their flaws, and one of the biggest challenges is achieving the delicate balance between sensitivity and specificity.
In this episode, we'll delve into the world of sensitivity and specificity, and discover how humans and algorithms can work together to achieve the best results. We'll also explore some real-world examples of false negative and false positive results, and discuss the implications for patients, consumers, and society as a whole.

  continue reading

18 episodi

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