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Engineering Trustworthy Intelligent Systems (ETIS) — First Edition

Engineering Trustworthy Intelligent Systems (ETIS) is a practical engineering framework for building, governing, operating, and continuously improving trustworthy intelligent systems throughout their lifecycle.

This first public release establishes the foundational ETIS doctrine for software engineering in the AI era, emphasizing repository-centered engineering, evidence-centered decision making, operational trust, governance as architecture, and sustained human accountability.

Release Highlights

  • Complete ETIS manuscript published online
  • Four-part engineering lifecycle framework
  • Thirty-nine integrated chapters covering the full intelligent systems lifecycle
  • Professional appendices, templates, governance artifacts, and reference materials
  • Repository-centered engineering practices throughout the framework
  • AI governance, oversight, delegation, and accountability guidance
  • Operational trust, observability, reliability, and stewardship practices
  • Professional portfolio and future trustworthy engineer guidance
  • Public website deployment through GitHub Pages
  • First official ETIS public release

Core Principles

  • AI proposes; engineers verify.
  • Governance is architecture.
  • Context is control.
  • Everything important leaves evidence.
  • The model is not the system.
  • A demo is not operational proof.

Resources

Website: https://etisframework.org/

Repository: https://github.com/etis-framework/etis

Citation

O'Connell, William T. Engineering Trustworthy Intelligent Systems: Software Engineering, Governance, and Operational Trust in the AI Era. First Edition, 2026.

This release establishes the initial public baseline for the ETIS framework. Future releases will extend examples, educational materials, reference implementations, and supporting engineering resources while preserving the core ETIS doctrine.

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