CANON Named Owner Principle · every AI deployment requires two named persons in the audit trail, a Governance Owner and a Decision Owner, not one substituting for the other WORKING PAPER №01 The handoff that isn’t · how clinical AI escapes accountability · Mo Johnson, MD MBA EVIDENCE Duke-Margolis 2026 · most US health systems have not named who owns the clinical AI decision when something goes wrong CANON Layer 4 · Clinical AI Governance at the bedside · the layer where the named owner has to live FRAMEWORK Clinical AI Accountability Canvas™ · the diagnostic framework distinguishing Clinical AI Governance from General AI Governance EVIDENCE Stanford MedAgentBench · agentic systems already executing clinical recommendations without a named adjudicator on the chart CANON The Two Inputs · internal data the institution audits · external data the model was trained on, rarely audited at the deployment site CITATION MedicoVigilance™ Issue 6 · The Layer With No Name · 1,627 institutional subscribers CANON The Accountability Gap™ · the structural failure point where AI stops and the named owner starts FRAMEWORK Mind the 9 Blocks™ · the nine institutional blocks that must be in place before clinical AI deployment EVIDENCE npj Digital Medicine · the four-layer governance cascade · most institutions have built the first two layers and left Layer 4 unbuilt FRAMEWORK The Accountability Gap™ (TAG™) · two seats, one handoff, any regulated sector · clinical AI and financial AI WORKING PAPER №02 The seam · how a bank's automated triage system closed the alerts nobody read · Mo Johnson, MD MBA FRAMEWORK The Accountability Canvas · nine blocks, one Gap Score™, any regulated deployment · clinical AI and financial AI PORTFOLIO GPe Research · adjudication infrastructure for regulated sectors, in clinical AI and financial AI. CANON Named Owner Principle · every AI deployment requires two named persons in the audit trail, a Governance Owner and a Decision Owner, not one substituting for the other WORKING PAPER №01 The handoff that isn’t · how clinical AI escapes accountability · Mo Johnson, MD MBA EVIDENCE Duke-Margolis 2026 · most US health systems have not named who owns the clinical AI decision when something goes wrong CANON Layer 4 · Clinical AI Governance at the bedside · the layer where the named owner has to live FRAMEWORK Clinical AI Accountability Canvas™ · the diagnostic framework distinguishing Clinical AI Governance from General AI Governance EVIDENCE Stanford MedAgentBench · agentic systems already executing clinical recommendations without a named adjudicator on the chart CANON The Two Inputs · internal data the institution audits · external data the model was trained on, rarely audited at the deployment site CITATION MedicoVigilance™ Issue 6 · The Layer With No Name · 1,627 institutional subscribers CANON The Accountability Gap™ · the structural failure point where AI stops and the named owner starts FRAMEWORK Mind the 9 Blocks™ · the nine institutional blocks that must be in place before clinical AI deployment EVIDENCE npj Digital Medicine · the four-layer governance cascade · most institutions have built the first two layers and left Layer 4 unbuilt FRAMEWORK The Accountability Gap™ (TAG™) · two seats, one handoff, any regulated sector · clinical AI and financial AI WORKING PAPER №02 The seam · how a bank's automated triage system closed the alerts nobody read · Mo Johnson, MD MBA FRAMEWORK The Accountability Canvas · nine blocks, one Gap Score™, any regulated deployment · clinical AI and financial AI PORTFOLIO GPe Research · adjudication infrastructure for regulated sectors, in clinical AI and financial AI.
TOPIC

Diagnostic Frameworks

The instruments that surface an accountability gap before it is tested. A framework in this subject area does not describe what accountability requires; it produces a finding about a specific deployment that a named person can act on, disagree with, or be held to.

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