What must be true before an institution can responsibly depend on consequential AI?
Trustworthy Technology & Innovation Consortium (TTIC) advances trustworthy healthcare AI by closing the gaps between medicine, engineering, cybersecurity, law, capital, and executive accountability. Its leaders co-author accredited standards, publish multidisciplinary reference works, and develop practical governance and diligence resources. By connecting clinical safety, technical evidence, and capital decisions, TTIC helps institutions determine what must be true before they can responsibly depend on AI, protecting patients, physicians, and institutional trust.
A governance-vetted roster spanning pro sports leadership, clinical and legal authority, capital, and compliance. Every speaker clears a credibility bar: a household-name organization, or an institutional capital seat.
Why This Bench in 2026:
The Economy
Healthcare does not need to step back from AI because adoption has not yet produced the ROI many expected. It needs to get better at deciding what deserves to move forward.
As interest rates remain elevated and Treasuries and bonds offer more attractive returns, the opportunity cost of speculative AI investment rises. Capital has grown more selective, and pilots have to justify not only their price, but their clinical value, implementation burden, risk, durability, and path to measurable return.
That is why this is the right bench for right now. We are bringing physicians, legal and compliance leaders, technologists, professional sports leadership, venture capital, and family-office capital into the same conversation.
The question is no longer simply, “Can we adopt AI?” It is: What must be true for an institution to responsibly depend on it, and for the investment to be worth making?
Healthcare should not retreat from AI. It should become much more disciplined about which AI earns the right to scale, whether that is for research, teaching, clinical care, or operations.
Trustworthy Technology & Innovation Consortium
High-Reliability Agentic AI Track at AIMed Benefits
The Track Chair carries the production architecture. Speakers carry the expertise. You will not be asked to design slides. We work from content briefs so you can focus on the substance only you can provide. Tap any milestone to understand what the speaker packet provided to you covers to know what to expect.
Roughly five touchpoints across five weeks
Storyline check
The speaker packet gives you a short, specific prompt for this step, not a blank page. Most speakers finish it in under an hour, and it is the only thing due at this stage.
Develop + practice
You will know your co-panelists and what each of you is covering well before this window opens, so coordinating who addresses what is straightforward rather than improvised.
Deck brief
No slide design required. The packet walks you through a short, structured brief covering your content, evidence, and anything that needs sourcing, and most speakers find it faster than building a deck themselves.
Content lock
You will see the integrated program before it is final, with a clear, simple way to confirm facts, evidence, and anything that must appear exactly as written.
Final materials
You receive your finished session materials ready to use: the full arc, moderator questions, and timing, with nothing left for you to assemble.
Rehearsal
A short, guided run-through with your co-panelists is scheduled for you, so you arrive onstage already familiar with how the session flows.
Prove
By this point, every transition, introduction, and handoff has already been rehearsed and confirmed. Your job that morning is simply to be excellent.
Own the truth.
- Expertise
- Evidence
- Judgment
- Examples
- Final factual accuracy
Own the coherence.
- Intellectual architecture
- Editorial synthesis
- Moderator questions
- Sequencing and handoffs
- Production readiness
Click to learn more
The 2025 track earned AIMed's AI Champion Award. All speaker selections are subject to a formal nominating and governance process. See the full 2025 track record →
The track is governed under a published editorial process, reviewed by AI research leaders at R1 research universities, to drive the goals of research, operations, clinical care, and capital allocation. Read the editorial policy →
Belong in this room?
If your work on behalf of a multi-family office, a venture fund, a health system, or a sports organization belongs in this conversation, the next step is a single message to the Track Chair.
Message Sherri Douville on LinkedIn