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Day 05 Introduction to AI

Summary
What is AI?

  • Machine learning
  • Anomaly detection
  • Computer vision
  • Natural language processing(NLP)
  • Conversational AI

Challenges and risks with AI

  • Bias can affect results
  • Errors may cause harm
  • Data could be exposed
  • Solutions may not work for everyone
  • Users must trust a complex system
  • Who's liable for AI-driven decisions?

Understand responsible AI

  • Fairness
  • Reliability and safety
  • Privacy and security
  • Inclusiveness
  • Transparency
  • Accountability

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