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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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Content provided by Peter Rehnke. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Peter Rehnke or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://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 episodes

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on February 27, 2024 02:13 (5M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 373780190 series 3470441
Content provided by Peter Rehnke. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Peter Rehnke or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://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 episodes

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