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AI presents a new paradigm in the development of software, representing the biggest change to how we think about quality and testing in decades. Many well known issues around AI manifest as quality management problems. This book explores AI from that angle and is aimed at testing and quality management practitioners who want to understand more.

Table of Contents

  1. Front Cover
  2. Half-Title Page
  3. Bcs, The Chartered Institute For It
  4. Title Page
  5. Copyright Page
  6. Contents
  7. List of figures and tables
  8. About the authors
  9. Abbreviations
  10. Glossary
  11. Preface
  12. 1. Introduction
  13. 2. AI Trustworthiness and Quality
  14. 3. Quality and Bias
  15. 4. Testing Machine Learning Systems
  16. 5. AI-based Test Automation
  17. 6. Ontologies for Software Testing
  18. 7. Shifting Right into the Metaverse with Digital Twin Testing
  19. References
  20. Index
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