Sherri Douville’s Post

At the TTIC | Trustworthy Technology and Innovation Consortium, we don't just talk about the multidisciplinary trust required in #healthcareAI. We did the work required to earn it across the disciplines. 👩⚕️Medicine builds trust through clinical evidence, professional judgment, patient safety, and accountable practice. 🔬Research builds it through methodological rigor, peer review, publication, and evidence that withstands scrutiny. 👷♂️Engineering requires architecture, interoperability, reproducibility, testing, and systems that work as designed. 🤖Cybersecurity assumes failure and adversaries. Trust requires controls, testing, monitoring, behavioral verification, and evidence of what actually happened. ⚖️Law, privacy, compliance, and governance require authority, obligations, liability, evidence, and accountability to be established and defensible. 👩💼Executives and boards ultimately have to determine whether all of this can be responsibly governed, financed, operated, and defended in production. We have spent years actually doing this work across those boundaries. And we are the only organization we know willing to do all of it. That is not a claim we make lightly. There are extraordinary people and organizations in every one of these domains. The problem is structural. Most people own a piece. The work between disciplines is difficult, expensive not just in time and money, professionally at high personal cost, often invisible with no credit. So it gets left undone. And the cost of leaving it undone is eventual failure. Organizations can have excellent clinicians, engineers, cybersecurity, research, governance, and executives and still fail because nobody owns the dependencies between them. Each function can succeed according to its own definition of trust while the system fails as a whole. #AI makes this more consequential at rapid speed because it crosses these boundaries simultaneously, at speed and scale. A model can perform well and still be clinically unsafe. A system can be secure and poorly governed. Something can be compliant and fail operationally. Rigorous research does not automatically become a dependable production system. Mitch Parker and I co-founded the Trustworthy Technology & Innovation Consortium because someone had to be willing to take responsibility for the work between the disciplines. We were willing. So we did it. And many extraordinary people have done it with us. We know how much work it takes, and we understand the cost of not doing it. Trust is not a label we put on technology. It is the result of work performed across disciplines, over the lifecycle, with evidence. No single profession can do all of it. Someone has to integrate it. That's why TTIC exists. Read the origin story here: https://lnkd.in/gAs65UbY Thanks to many advisors + champions Edward Marx David Finn Charles Podesta Khalid Turk MBA, PMP, CHCIO, FCHIME Noel Gillespie Steve Wilson and more #AIGovernance #AIStandards #Cybersecurity

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This framing of the integration gap rather than individual domain failure is exactly right. I've seen organizations with world-class teams in each of these silos still produce systems that failed in production, not because any single function was incompetent, but because the handoffs between them had no owner. Clinical safety assumptions don't automatically propagate into engineering requirements. Security controls don't map neatly onto compliance obligations. Research rigor doesn't translate to operational dependability without deliberate, expensive, often thankless work in between. The structural incentive problem you describe is real: interdisciplinary work is high-cost and low-visibility, so rational actors optimize within their own boundaries. AI accelerates the consequences because it collapses those boundaries into a single deployment timeline. Someone has to own the seams. #TTIC's willingness to take that on, and to do it with evidence rather than assertion, is what makes this different from the usual trustwashing. Looking forward to reading the origin story.

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