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2021 iThome 鐵人賽

DAY 3
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AI & Data

Azure AI Journey系列 第 3

Day 03 Introduction to AI

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Challenges and risks with AI

  • Bias can affect results - e.g. loan-approval model discriminates by gender
  • Errors may cause harm - e.g. autonomous vehicle experiences system failure and causes collision
  • Data could be exposed - e.g. medical diagnostic bot trained using sensitive patient data, which is stored insecurely
  • Solutions may not work for everyone - e.g. Home automation assistant no audio output for visually impaired users
  • Users must trust a complex system - e.g. AI-based financial tool makes investment recommendations
  • Who's liable for AI-driven decisions? - e.g. Convicted of a crime based on evidence from facial recognition

上一篇
Day 02 Introduction to AI
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Day 04 Introduction to AI
系列文
Azure AI Journey14
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