AI & Engineering
Resources from the Trustworthy Technology & Innovation Consortium for engineering and AI leaders responsible for models, agents, evaluation, evidence and production behavior.
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ARTICLE
Trust fails between disciplines, not within them. Why TTIC was built to own the seams between medicine, engineering, cybersecurity, law, and executive accountability.
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ARTICLE
Organizations should require independent behavioral verification and normalized runtime telemetry before deploying consequential AI, not just a configuration attestation.
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ARTICLE
Trustworthy AI governance in healthcare means an AI system behaves the way its documentation claims, verified across the full lifecycle. How TTIC defines and operationalizes it.
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PAGE
What does "validated" actually mean? The difference between technical verification, technical validation, clinical validation, and institutional authorization, who holds authority at each stage, and what should trigger reassessment.
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BRIEFING
Move evidence into accountable institutional practice. Research is essential to trustworthy technology, but the path from evidence to deployment...
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ARTICLE
How TTIC evaluated Praxen, the open-source reference implementation for Agent Behavior Verification, what we learned running it on a governed clinical AI platform, and why it now forms the foundation of the TTIC certification early access program.
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TTIC’s practical framework for physicians, engineers, finance leaders, security leaders, operators, legal leaders, and executives building the capabilities required to turn AI expertise into defensible outcomes.
Technology · Cybersecurity · Governance & Risk · Clinical Outcomes
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- Published by
- Trustworthy Technology & Innovation Consortium (TTIC)
- Author
- By Sherri Douville, Founder & Chair, Trustworthy Technology & Innovation Consortium (TTIC)
- Originally published
- Last updated
Cite this resource
Sherri Douville. “AI & Engineering.” Trustworthy Technology & Innovation Consortium (TTIC), 2026. https://trustworthytechnologyinnovation.com/responsibilities/ai-engineering/.