$217 million
in investor losses
before anyone found out.
The error ran for over a year.
3 investment advisers
concealed a disabled risk control
inside a trading model.
A 2022 Vanderbilt law review
went looking for why.
What they found was not a technology problem.
It was an ownership problem.
The same conversation running
in clinical AI board meetings right now
is already sitting
in financial regulation literature.
Word for word.
A named model owner.
Distinct roles for ownership,
controls, and compliance.
That is not a new idea.
A 2017 Financial Stability Board white paper
proposed it 5 years
before this article was written.
3 years after the article,
the seat still does not exist.
What most institutions have.
Capital requirements
that proves a model is stable.
Registration exams
that proves a trader is qualified.
Enforcement actions
that arrive after the loss,
not before it.
What none of them have.
A named person
who answers when the model is wrong,
before the regulator has to ask.
FINRA requires a trader
to pass an exam.
Competency, not responsibility.
A trader can be fully qualified
and still not be the person
who owns the call.
Governments ran prediction markets
decades before Polymarket
or Kalshi existed.
The idea was correct then too.
It sat unbuilt for years.
Knowing the shape of a solution
is not the same as building it.
The white paper named 2 seats.
Nobody built the handoff
between them.
A hospital board and a trading desk
are asking the same question.
Who owns this when it breaks.
The Accountability Gap™ (TAG™)
does not care which room it is in.
↳ The Governance Owner
names what the model is authorized to do.
↳ The Decision Owner
holds the call the model cannot.
↳ The Handoff between them
is written before the loss,
not cited after it.
The paper answered this question
in 2022.
The seat still does not exist
inside most institutions.
3 years of citations
is not the same as one named owner.
That gap is not a technicality.
It is a liability.
You already know which model
in your portfolio
has no named owner right now.
Where is your firm.
Still citing the recommendation,
or actually naming the seat.
Mo Johnson, MD MBA is a cardiothoracic surgeon and the founder of GPe Research. He created The Accountability Gap™ (TAG™), which names the moment the AI stops and the named owner starts. MedicoVigilance™ covers clinical AI. FinVigilance™ covers financial AI. Field Notes are short dispatches from the accountability frontier, published at tagframework.com.
Follow the work on LinkedIn: linkedin.com/in/mo-johnson