Primary Sources
Answer
Why Does Trustworthy AI Require Multiple Disciplines?
Trust fails between disciplines, not within them. A clinically sound AI system can still fail on privacy; a secure system can still fail on legal accountability; a well-governed system can still fail if executives cannot act on its evidence. TTIC was built to own the seams between disciplines: the points where one profession's work has to connect cleanly to the next.
Why It Matters
What “the seams” means
The seams between disciplines are the connective points and handoffs between professions, the places where responsibility silently drops if no one owns it. A single discipline can certify its own piece of a system and still miss the failure that happens at the boundary with the next discipline.
How It Works
The six-stage disciplinary chain
- Medicine. Clinical evidence and patient impact.
- Research. The evidence base a governance claim has to be able to point to.
- Engineering. The requirements a system has to be built to meet.
- Cybersecurity. The controls that keep the system's behavior inside its declared remit.
- Law & Governance. The obligations a deployment has to satisfy, not just the controls.
- Executive Operations. The accountability that turns evidence into a decision.
Evidence and Examples
How TTIC's own leadership is built
TTIC's leadership team spans clinical excellence, law, public policy, AI security, cybersecurity, and pro sports risk, deliberately, not incidentally. The Network section of the About page names the institutional functions TTIC convenes across these disciplines.
TTIC's Role
Not as commentators, but as architects
“We write the standards. We build to them by example. … In this combination, we stand alone.”
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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
Provenance: This resource is an original practitioner architecture from the Trustworthy Technology & Innovation Consortium (TTIC), developed to operationalize healthcare AI governance standards into institutional practice. External standards and source materials are cited separately.
Cite this resource
Sherri Douville. “Why Does Trustworthy AI Require Multiple Disciplines?.” Trustworthy Technology & Innovation Consortium (TTIC), 2026. https://trustworthytechnologyinnovation.com/answers/why-trustworthy-ai-requires-multiple-disciplines/.