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ETIS

Table of Contents

Front Matter

  • Title Page
  • Copyright Page
  • Preface
  • Acknowledgments
  • How to Use This Book
  • Engineering Trustworthy Intelligent Systems at a Glance

Part I — Foundations of Trustworthy Engineering

  1. Engineering Trustworthy Intelligent Systems
  2. Why Software Projects Fail
  3. Complexity, Coordination, and Sociotechnical Systems
  4. Lifecycle Models and Engineering Under Uncertainty
  5. AI Changes the Software Lifecycle
  6. Engineering Judgment and Human Oversight
  7. Teams, Communication, Review, and Accountability

Part II — Engineering Construction

  1. Project Launch and Engineering Standards
  2. Repository-Centered Engineering
  3. Requirements, Stakeholders, and Engineering the Right Problem
  4. AI-Assisted Requirements Engineering
  5. Planning, Estimation, Risk, and Tradeoffs
  6. Architecture Fundamentals
  7. Intelligent Systems Architecture
  8. Architecture Reviews and ADRs
  9. AI-Assisted Design and Coding
  10. Pull Requests, Reviews, and CI/CD
  11. Reviewing AI-Generated Systems
  12. Testing and Verification Fundamentals
  13. Testing Intelligent and AI-Assisted Systems
  14. Release Readiness and Engineering Evidence
  15. Engineering Presentations and Release Defense

Part III — Operational Trust

  1. Postmortems and Engineering Learning
  2. Defect Reduction and Stabilization
  3. Observability and Runtime Evidence
  4. Operational Readiness and Runbooks
  5. Security Engineering and Governance
  6. AI Governance and Controlled Delegation
  7. Reliability Engineering and Failure Analysis
  8. Operational Incident Response
  9. Release Governance and Approval Authority
  10. Trust, Transparency, and Organizational Confidence

Part IV — Trustworthy Intelligent Systems

  1. Agentic Systems and Workflow Orchestration
  2. Enterprise AI Architecture and Context Engineering
  3. Human Oversight in Intelligent Systems
  4. Understandability and Operational Transparency
  5. Complexity, Cognitive Load, and Understandability
  6. Engineering Stewardship in the AI Era
  7. The Future Trustworthy Engineer

Appendices

  • Appendix A — Introduction to the Trustworthiness Framework
  • Appendix B — Complete Review-Board Catalog
  • Appendix C — Repository-Centered Engineering Artifact Catalog
  • Appendix D — Engineering Principles Catalog
  • Appendix E — LMU / COICP Enterprise Reference Architecture
  • Appendix F — Engineering Judgment Framework
  • Appendix G — AI Governance Framework
  • Appendix H — Terminology and Definitions

Back Matter

  • References and Influential Sources
  • Recommended Reading
  • About the Author
  • First Edition Notes
  • License
  • Contact
  • Privacy