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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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Peter Rehnke에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Peter Rehnke 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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.
18 에피소드
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