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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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תוכן מסופק על ידי Peter Rehnke. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Peter Rehnke או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.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.
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