Harm Determination Standard - (HDS)
OOF® Origin Open Foundation®
Independent Methodological Authority
---------- Forwarded message --------- From: Knowenger
<knowenger@gmail.com> Date: Tue, Sep 15, 2026, 10:35 AM Subject: 6Harm
Determination Standard (HDS) To: <Gutflex@gmail.com>, Miroslav Pis
<swissstaffingagency@gmail.com>, < originopenfoundation@gmail.com>
Enforcement Subcategory: Harm Governance Type: Parent Standard Governed
Space: Harm Determination Standard ID: HAGA-HDS-006 Origin ID:
OOF.PS.16.06.00.01 Version: 1.0 Status: Canonical · Open Standard
Effective Date: 15 September 2026 Compatibility: OOF® Methodology OS™ ·
Modular OOF® Architecture Ecosystem AI-Readable: Yes Authority: OOF®
Protection: MIP® — Methodological Intellectual Property Canonical
Language: English (UCL™)
The Harm Determination Standard (HDS) governs whether Harm can
legitimately be determined to exist as a formally governed Harm object and
what Harm has been established, using qualified Recognition and Boundary
inputs, explicit determination criteria, governed evaluation, uncertainty,
contradiction, sufficiency, determination states, and a traceable Governed
Harm Record.
HDS establishes the transition:
Governed Harm Recognition State + Governed Harm Boundary → Qualified
Inputs → Determination Criteria → Evaluation → Determination State →
Governed Harm Record
Earlier HAGA™ layers establish that Harm:
may exist
has emerged
has become recognized
and:
has been bounded for governance
HDS performs a different function.
Its operational role is:
to determine whether the available governed basis is sufficient to
formally establish Harm and, where it is, to create the authoritative
methodological record of the Harm that has been determined.
HDS therefore separates:
accountability
liability
claims
or:
resolution
Can Harm legitimately be determined to exist, and what governed Harm has
been established?
The HAGA™ Governance Flow is:
Harm Context → Harm Exposure → Harm Emergence → Harm Recognition → Harm
Boundary → Harm Determination → Harm State → Harm Change & Propagation →
Harm Containment → Harm Mitigation → Harm Recovery & Residual Harm → Harm
Resolution & Finality
HDS receives:
The internal HDS flow is:
Qualified Inputs → Determination Criteria → Evaluation → Determination
State → Governed Harm Record
The five Core Modules are:
The foundational distinction is:
Recognition ≠ Determination
Recognition establishes that Harm has sufficient basis to become an
explicit governance object.
Determination establishes whether Harm can be formally established under
governed criteria.
A recognized Harm must not automatically become a determined Harm.
Equally:
Failure to reach Determination ≠ Proof That Harm Does Not Exist
The result may instead be:
Insufficient Basis
HDS determines a specific:
HBS.
It must not silently expand or narrow:
subjects
time
effects
or:
downstream scope
during determination.
If material boundary changes become necessary, the appropriate boundary
governance must be reopened.
Determination must operate on governed inputs rather than unstructured
information.
Inputs may include:
temporal information
effect information
downstream relationships
operational reality
evidence
validated findings
integrity-relevant information
material uncertainty
material contradictions
HDS must preserve the provenance and governance status of materially
relied-upon inputs.
An input should be qualified according to characteristics such as:
relevance
fitness
reliability
scope
temporal applicability
provenance
uncertainty
and:
limitations
Qualification does not mean that HDS replaces ADIT®, VALIDOS™, INTEGROS®,
or OBIDENITY®.
It determines whether their outputs are fit for Harm Determination.
Canonical distinction:
Available Information ≠ Qualified Determination Input
The existence of data, reports, statements, observations, or records does
not automatically make them sufficient for formal Harm Determination.
HDS requires explicit criteria for determining Harm.
Criteria must be appropriate to the governed Harm and sufficiently clear
to distinguish:
what must be established
what may remain uncertain
what would prevent determination
and:
what would require further governance
Determination must not depend on an unexplained intuitive conclusion.
Canonical principle:
A determination conclusion must be governed by criteria, not reconstructed
after the conclusion has already been chosen.
This protects HDS against outcome-driven reasoning.
HDS is technology-neutral and domain-neutral.
Determination may concern Harm in:
physical
medical / health
digital
financial
property
environmental
organizational
cognitive
or:
societal
contexts.
Domain-specific methods may differ.
The methodological requirement for governed Determination remains
consistent.
A Determination Threshold defines the level of support required to
establish the applicable Determination State.
The threshold must be:
explicit
appropriate
consistent
traceable
and:
separate from downstream legal standards
Canonical distinction:
Harm Determination Threshold ≠ Legal Liability Threshold
HRS may recognize Harm before the basis is sufficient for formal
Determination.
Therefore:
Recognition Confirmation Threshold ≠ Harm Determination Threshold
This allows governance to act on recognized Harm without falsely claiming
that formal Determination has already occurred.
HEMS governs when Harm begins to exist.
HDS governs when the available governed basis can formally establish it.
Therefore:
Harm Emergence Threshold ≠ Harm Determination Threshold
The epistemic state of governance must not redefine the reality state of
Harm.
Evaluation applies the governed criteria to the qualified inputs.
It must consider:
supporting information
contradictory information
uncertainty
limitations
scope
confidence
alternative interpretations
composite relationships
and:
material missing information
The purpose is not to eliminate uncertainty.
It is to govern uncertainty sufficiently to reach the legitimate
determination state.
Absolute certainty is not a universal requirement.
Canonical principle:
Determination does not require uncertainty to disappear; it requires
uncertainty to be governed.
A Harm may be:
Sufficiency concerns whether the complete governed basis meets the
applicable Determination Criteria.
It must not be reduced to:
number of reports
number of evidence items
number of affected subjects
visibility
or:
institutional acknowledgement
Canonical distinction:
More Information ≠ Sufficient Determination Basis by Default
Harm may be established through several individually insufficient elements
that become sufficient collectively.
Conceptually:
Input A + Input B + Input C → Sufficient Determination Basis
Therefore:
Individual Insufficiency ≠ Composite Insufficiency
This is essential for:
distributed Harm
accumulated Harm
collective Harm
cross-system Harm
and:
AI-mediated Harm
Evidence may exist across:
systems
organizations
subjects
agents
sessions
locations
or:
time periods
HDS must be capable of evaluating the governed basis as a coherent whole.
Canonical principle:
Evidence fragmentation must not make a materially coherent Harm
undeterminable by default.
An individual component may not establish Harm independently.
The complete operational structure may.
Therefore:
Local Insufficiency ≠ Global Insufficiency
HDS must support determination at the level at which Harm actually exists.
Some Harm cannot be reduced to one action.
It may emerge through:
accumulation
interaction
distributed execution
continuous conditions
multiple individually insufficient actions
or:
composite operational behavior
Therefore:
No Single Harm-Producing Action ≠ No Determinable Harm
HDS must not require:
prompt history
textual reasoning
linguistic decision
or:
explicit verbal instruction
for Harm to be determinable.
Autonomous systems may move directly through:
Perception → Interpretation → Decision → Action → Consequence
Harm Determination must follow the consequence and governed reality.
A subject report may materially contribute to Determination.
But:
Subject Report ≠ Automatic Harm Determination
Nor may its absence establish:
appropriately.
AI or automated systems may detect Harm-relevant conditions.
But:
Machine Detection ≠ Automatic Harm Determination
Automated analysis may contribute to Determination while remaining subject
to governed criteria, provenance, uncertainty, and validation.
An institution may acknowledge Harm.
That acknowledgement may be relevant.
But:
Institutional Acknowledgement ≠ Harm Determination by Default
Likewise:
Institutional Non-Acknowledgement ≠ No Harm
Authority status alone does not determine methodological truth.
Highly visible Harm must not receive a lower Determination threshold
merely because it is obvious.
Less visible Harm must not receive an impossible threshold merely because
it is difficult to observe.
Therefore:
Visibility ≠ Determination Legitimacy
Severe potential consequences must not substitute for Determination.
Similarly, apparently minor consequences must not prevent Determination
where criteria are satisfied.
Therefore:
Harm Severity ≠ Determination Sufficiency
The consequences of Determination may include:
organizational response
financial exposure
accountability review
claims
regulatory attention
or:
liability questions
These consequences must not determine whether Harm is established.
Canonical principle:
The consequences of a Harm Determination must not determine the Harm
Determination itself.
HDS determines Harm.
AGA™ governs accountability.
Therefore:
Harm Determination ≠ Accountability Determination
A Harm may be established while accountability remains:
unknown
distributed
disputed
or:
not established
Harm may be determined without determining who had responsibility to
prevent it.
Therefore:
Determined Harm ≠ Responsibility Assigned
Legal liability requires separate legal and jurisdictional analysis.
Therefore:
Determined Harm ≠ Liability Established
and:
No Liability ≠ No Harm
This boundary is fundamental.
HDS may require sufficient causal association to establish that the
governed Harm exists as bounded.
It does not become a general causation or forensic architecture.
Therefore:
Sufficient Harm Association ≠ Complete Causal Attribution
The determination should establish no more causation than necessary for
the Harm determination itself.
HDS operates on the Governed Harm Boundary.
It must not silently change that boundary merely to make Determination
easier.
If evaluation reveals:
additional subjects
earlier Harm
new effects
new downstream consequences
or:
a separate Harm
the relevant HBS governance should be reopened.
Canonical principle:
Determination must evaluate the governed Harm Boundary, not rewrite it
invisibly.
Not every dimension of Harm may be equally established.
A determination may therefore be:
Harm existence may be established while some:
subjects
historical periods
effects
or:
downstream consequences
remain unresolved.
Partial Determination must specify exactly what is established and what
remains open.
HDS recognizes at minimum:
Established means the governed basis satisfies the applicable
Determination Criteria sufficiently to formally establish the bounded
Harm.
Established does not mean:
every fact is known
every cause is known
every subject is identified
accountability is assigned
or:
liability exists
Partially Established means a material portion of the Harm can be formally
established while specified parts remain unresolved.
The unresolved portion must remain explicit.
Partial establishment must not be represented as complete establishment.
Pending means Determination cannot yet legitimately be completed because
relevant governance remains active or necessary.
Examples include:
required information pending
boundary reassessment
validation pending
material contradiction unresolved
additional evaluation required
Pending is not a negative conclusion.
Insufficient Basis means the available governed basis does not currently
support the required Determination threshold.
Canonical distinction:
Insufficient Basis ≠ No Harm
The Harm may exist even where governance cannot currently establish it.
Not Established means the governed evaluation does not establish the Harm
under the applicable criteria.
This state must remain distinguishable from:
failure of support
and:
support for non-establishment
are not necessarily the same epistemic condition.
Information materially supporting non-establishment must be distinguished
from simple absence of supporting information.
Therefore:
Absence of Supporting Evidence ≠ Evidence of Absence
This distinction must be preserved in the Determination Record.
Where materially credible inputs conflict, HDS must preserve:
supporting basis
contradictory basis
scope of conflict
effect on confidence
effect on Determination State
Conflict must not be silently discarded.
Different evaluators or systems may reach different determinations.
HDS must support:
because of organizational status.
HDS may associate confidence with a Determination State.
Confidence must remain separate from the state itself.
For example:
Canonical distinction:
Determination Confidence ≠ Harm Severity
Every determination must specify what was determined.
At minimum, this may include:
temporal scope
effect scope
downstream scope where applicable
determination criteria
determination state
limitations
This prevents vague statements such as:
“Harm occurred”
from replacing a governed determination.
A Determination State may require reassessment when:
new information appears
evidence changes
validation changes
integrity concerns arise
the Harm Boundary changes
material contradiction is resolved
previous assumptions become invalid
Reassessment must preserve prior states.
A closed Determination may be reopened where materially relevant new
information justifies reconsideration.
Reopening must not erase the original determination.
The record should preserve:
Determination₁ → New Basis → Reassessment → Determination₂
Where an error is discovered, HDS must support correction.
Corrections must preserve:
original conclusion
error
corrected conclusion
reason
time
authority / methodology used
Canonical principle:
Correction must change the determination without rewriting its history.
A governed Harm may therefore have:
Determination State₁
Determination State₂
Determination State₃
Each state must remain traceable.
The latest determination does not erase the methodological history of how
the Harm was governed.
The principal HDS output is:
determined Harm.
It should preserve, where applicable:
criteria
evaluation
uncertainty
contradictions
limitations
history
reassessment status
An incident record describes an event or operational occurrence.
A Governed Harm Record represents the Harm object established through
HAGA™.
Therefore:
Incident Record ≠ Governed Harm Record
One incident may create:
no Harm
one Harm
or:
multiple Harms
Likewise, one Harm may arise without one discrete incident.
A claim is a downstream procedural, contractual, insurance, or legal
object.
Therefore:
Claim Record ≠ Governed Harm Record
The existence or absence of a claim must not define Harm Determination.
A Harm Record may later support liability analysis.
It does not itself determine liability.
Therefore:
Governed Harm Record ≠ Liability Record
Material evidence supporting Determination should remain traceable through
ADIT® where applicable.
HDS must know:
what was relied upon
without becoming the architecture that governs evidence formation itself.
Where a determination depends materially on validated information, HDS
should preserve the relevant validation state.
But:
Validated Evidence ≠ Harm Determination by Default
VALIDOS™ establishes validation.
HDS determines what the validated basis means for Harm.
Integrity issues may materially affect Determination.
But:
Integrity State ≠ Harm Determination State
INTEGROS® governs integrity.
HDS uses relevant integrity conclusions without absorbing that governance
space.
ORA™ may establish:
what actually happened
what system executed
what state existed
what operational sequence occurred
HDS may rely on that operational reality.
But:
Operational Failure ≠ Harm Determination by Default
A failure can occur without Harm.
Harm can also exist without a conventional operational failure.
AIG® may establish unsafe or problematic AI behavior.
But:
Unsafe AI Behavior ≠ Determined Harm by Default
HDS determines whether Harm has been established.
ASGA™ governs autonomous execution.
An autonomous system may violate a governance constraint without producing
Harm.
Conversely, Harm may emerge through a composite operation without one
individually prohibited action.
Therefore:
Autonomous Governance Violation ≠ Harm Determination by Default
SIMULOS® may demonstrate that Harm could occur under simulated conditions.
But:
Simulated Harm ≠ Determined Actual Harm
Simulation may support analysis.
It does not replace real-world Harm Determination.
Predicted future Harm remains distinct from existing Harm.
Therefore:
Predicted Harm ≠ Determined Existing Harm
HAGA™ governs Harm that has emerged into the Harm lifecycle.
VFM® may establish Value change resulting from an event or Harm.
But:
Value Loss ≠ Harm Determination by Default
and:
No Value Loss ≠ No Harm
TREGA™ governs Tax-Relevant Events.
Jurisdictional systems may determine legal consequences.
Neither defines methodological Harm Determination.
Therefore:
Jurisdictional Classification ≠ Harm Determination
A legitimate determination process must remain protected from pressure to
reach a preferred result.
Potential pressures include:
financial exposure
reputational impact
organizational hierarchy
insurance consequences
legal strategy
regulatory consequences
political pressure
system performance targets
Canonical principle:
The preferred consequence of a determination must not become the
methodology for reaching it.
Comparable Harm objects governed under comparable criteria should not
receive materially different Determination treatment without a documented
reason.
Consistency does not require identical conclusions.
It requires consistent methodology.
Determination may involve:
human evaluators
or:
hybrid governance
Regardless of implementation:
the criteria, basis, uncertainty, state, and record must remain
governable.
Machine automation does not remove methodological accountability.
A Determination State should be explainable through:
what was evaluated
against which criteria
using which governed inputs
with what uncertainty
with what contradictions
and:
why the final state was reached
Explainability must follow the determination methodology rather than
reconstructing a plausible explanation afterward.
Once HDS establishes a:
What is the current governed state of Harm?
This separation is essential.
HDS establishes:
whether and what Harm exists as a formally governed object.
HSS governs:
the state of that Harm over time.
Therefore:
Harm Determination ≠ Harm State Classification
HDS requires that:
inputs; - Determination Criteria be explicit and precede the conclusion; -
Determination thresholds remain distinct from Recognition, Emergence,
legal, liability, and claim thresholds; - uncertainty be governed rather
than artificially eliminated; - contradictory inputs remain visible; -
composite and distributed Determination bases remain supportable; - local
insufficiency not automatically become global insufficiency; - no single
Harm-producing action be required where Harm exists at composite level; -
subject reports, machine detection, and institutional acknowledgement not
automatically determine Harm; - visibility and severity not substitute for
Determination sufficiency; - accountability, responsibility, liability,
and claim consequences remain outside the HDS conclusion; - boundary
changes trigger appropriate boundary reassessment rather than silent
rewriting; - Established, Partially Established, Pending, Insufficient
Basis, and Not Established remain distinct; - absence of supporting
evidence remain distinct from evidence of absence; - Determination
confidence remain distinct from Harm severity; - reassessment, reopening,
and correction preserve history; - every formal Determination produce a
traceable Governed Harm Record.
HDS applies the following logic:
Has HRS produced a governed Recognition state and HBS established a
Governed Harm Boundary?
If no:
→ formal Harm Determination is not ready.
If yes:
→ qualify the determination inputs.
Are the required inputs fit for the applicable determination?
If no:
→ identify missing or insufficient basis.
If yes:
→ apply explicit Determination Criteria.
Does the basis contain uncertainty or contradiction?
If yes:
→ govern it explicitly rather than removing it from analysis.
Do individually insufficient elements become sufficient collectively?
If yes:
→ evaluate the composite basis.
Does the complete basis satisfy the Determination threshold?
If yes:
→ establish Established or, where only part is supported, Partially
Established.
If evaluation remains materially incomplete:
→ establish Pending.
If the available basis cannot support Determination:
→ establish Insufficient Basis.
If governed evaluation supports non-establishment:
→ establish Not Established.
Has evaluation revealed a material boundary problem?
If yes:
→ return the affected boundary dimension to HBS rather than silently
changing it.
Has Harm been established?
If yes:
→ create or update the Governed Harm Record and hand it to HSS.
At every stage:
Recognition ≠ Determination
Uncertainty ≠ No Harm
Insufficient Basis ≠ No Harm
Composite Sufficiency ≠ Individual Sufficiency
Determined Harm ≠ Accountability
Determined Harm ≠ Liability
HDS may produce:
Governed Harm Record
Recognition ≠ Determination
Failure to Reach Determination ≠ Proof That Harm Does Not Exist
Available Information ≠ Qualified Determination Input
Recognition Threshold ≠ Determination Threshold
Harm Emergence Threshold ≠ Harm Determination Threshold
Harm Determination Threshold ≠ Legal Liability Threshold
More Information ≠ Sufficient Determination Basis
Individual Insufficiency ≠ Composite Insufficiency
Local Insufficiency ≠ Global Insufficiency
No Single Harm-Producing Action ≠ No Determinable Harm
Subject Report ≠ Automatic Harm Determination
Machine Detection ≠ Automatic Harm Determination
Institutional Acknowledgement ≠ Harm Determination
Institutional Non-Acknowledgement ≠ No Harm
Visibility ≠ Determination Legitimacy
Harm Severity ≠ Determination Sufficiency
Harm Determination ≠ Accountability Determination
Determined Harm ≠ Responsibility Assigned
Determined Harm ≠ Liability Established
No Liability ≠ No Harm
Insufficient Basis ≠ No Harm
Absence of Supporting Evidence ≠ Evidence of Absence
Determination Confidence ≠ Harm Severity
Incident Record ≠ Governed Harm Record
Claim Record ≠ Governed Harm Record
Governed Harm Record ≠ Liability Record
Validated Evidence ≠ Harm Determination
Operational Failure ≠ Harm Determination
Unsafe AI Behavior ≠ Determined Harm
Simulated Harm ≠ Determined Actual Harm
Predicted Harm ≠ Determined Existing Harm
Value Loss ≠ Harm Determination
Harm Determination ≠ Harm State Classification
The Harm Determination Standard (HDS) governs whether a recognized and
bounded Harm can legitimately be formally established as a governed Harm
object and what Harm has been established. It governs qualified
determination inputs, Determination Criteria, thresholds, evaluation,
sufficiency, composite determination, uncertainty, contradiction,
Determination States, confidence, reassessment, reopening, correction,
historical continuity, and the formation of the Governed Harm Record. It
does not determine Harm Emergence, perform Harm Recognition, establish or
silently modify the Harm Boundary, govern Harm State or propagation,
establish general causation beyond what is necessary for Harm
Determination, assign accountability or responsibility, determine
liability, govern claims or compensation, or replace operational reality,
evidence, validation, integrity, identity, AI behavior, autonomous
execution, simulation, Value, prediction, tax-event, or
jurisdiction-specific governance.
Harm should not become formally established merely because it has been
alleged, observed, reported, recognized, feared, or institutionally
acknowledged. Nor should Harm disappear from governance merely because
absolute certainty is unavailable.
HDS governs the space between those two failures.
It requires Harm to be established through explicit criteria, qualified
inputs, governed uncertainty, and a traceable determination — while
preserving the fundamental distinction between what exists in reality and
what governance can currently prove.
A legitimate Harm Determination does not manufacture Harm. It establishes,
with governed discipline, what Harm can legitimately be said to have been
established.
<knowenger@gmail.com> Date: Tue, Sep 15, 2026, 10:35 AM Subject: 6Harm
Determination Standard (HDS) To: <Gutflex@gmail.com>, Miroslav Pis
<swissstaffingagency@gmail.com>, < originopenfoundation@gmail.com>
Harm Determination Standard (HDS)
Architecture: HAGA™ — Harm Governance Architecture Category: Governance &Enforcement Subcategory: Harm Governance Type: Parent Standard Governed
Space: Harm Determination Standard ID: HAGA-HDS-006 Origin ID:
OOF.PS.16.06.00.01 Version: 1.0 Status: Canonical · Open Standard
Effective Date: 15 September 2026 Compatibility: OOF® Methodology OS™ ·
Modular OOF® Architecture Ecosystem AI-Readable: Yes Authority: OOF®
Protection: MIP® — Methodological Intellectual Property Canonical
Language: English (UCL™)
- Canonical Definition
The Harm Determination Standard (HDS) governs whether Harm can
legitimately be determined to exist as a formally governed Harm object and
what Harm has been established, using qualified Recognition and Boundary
inputs, explicit determination criteria, governed evaluation, uncertainty,
contradiction, sufficiency, determination states, and a traceable Governed
Harm Record.
HDS establishes the transition:
Governed Harm Recognition State + Governed Harm Boundary → Qualified
Inputs → Determination Criteria → Evaluation → Determination State →
Governed Harm Record
- Operational Role
Earlier HAGA™ layers establish that Harm:
may exist
has emerged
has become recognized
and:
has been bounded for governance
HDS performs a different function.
Its operational role is:
to determine whether the available governed basis is sufficient to
formally establish Harm and, where it is, to create the authoritative
methodological record of the Harm that has been determined.
HDS therefore separates:
Recognized Harm
from:Determined Harm
and:Determined Harm
from downstream questions of:Harm State
causationaccountability
liability
claims
or:
resolution
- Core Question
Can Harm legitimately be determined to exist, and what governed Harm has
been established?
- Position Within HAGA™
The HAGA™ Governance Flow is:
Harm Context → Harm Exposure → Harm Emergence → Harm Recognition → Harm
Boundary → Harm Determination → Harm State → Harm Change & Propagation →
Harm Containment → Harm Mitigation → Harm Recovery & Residual Harm → Harm
Resolution & Finality
HDS receives:
Governed Harm Recognition State
and:Governed Harm Boundary
It produces:Governed Harm Record
for the Harm State Standard (HSS).- Internal Governance Flow
The internal HDS flow is:
Qualified Inputs → Determination Criteria → Evaluation → Determination
State → Governed Harm Record
The five Core Modules are:
HDIM — Harm Determination Input Module
HDCM-D — Harm Determination Criteria Module
HDEM — Harm Determination Evaluation Module
HDSM — Harm Determination State Module
HDRM — Harm Determination Record Module
Each governs a distinct part of the determination lifecycle.- Foundational Determination Principle
The foundational distinction is:
Recognition ≠ Determination
Recognition establishes that Harm has sufficient basis to become an
explicit governance object.
Determination establishes whether Harm can be formally established under
governed criteria.
A recognized Harm must not automatically become a determined Harm.
Equally:
Failure to reach Determination ≠ Proof That Harm Does Not Exist
The result may instead be:
Pending
Partially Established
or:Insufficient Basis
- Determination Object
HDS determines a specific:
Governed Harm Object
The determination must remain tied to the Harm Boundary established byHBS.
It must not silently expand or narrow:
subjects
time
effects
or:
downstream scope
during determination.
If material boundary changes become necessary, the appropriate boundary
governance must be reopened.
- Qualified Inputs
Determination must operate on governed inputs rather than unstructured
information.
Inputs may include:
Governed Harm Recognition State
Governed Harm Boundary
Recognition Basis
subject informationtemporal information
effect information
downstream relationships
operational reality
evidence
validated findings
integrity-relevant information
material uncertainty
material contradictions
HDS must preserve the provenance and governance status of materially
relied-upon inputs.
- Input Qualification
An input should be qualified according to characteristics such as:
relevance
fitness
reliability
scope
temporal applicability
provenance
uncertainty
and:
limitations
Qualification does not mean that HDS replaces ADIT®, VALIDOS™, INTEGROS®,
or OBIDENITY®.
It determines whether their outputs are fit for Harm Determination.
- Information ≠ Qualified Determination Input
Canonical distinction:
Available Information ≠ Qualified Determination Input
The existence of data, reports, statements, observations, or records does
not automatically make them sufficient for formal Harm Determination.
- Determination Criteria
HDS requires explicit criteria for determining Harm.
Criteria must be appropriate to the governed Harm and sufficiently clear
to distinguish:
what must be established
what may remain uncertain
what would prevent determination
and:
what would require further governance
Determination must not depend on an unexplained intuitive conclusion.
- Criteria Must Precede Conclusion
Canonical principle:
A determination conclusion must be governed by criteria, not reconstructed
after the conclusion has already been chosen.
This protects HDS against outcome-driven reasoning.
- Domain-Neutral Core
HDS is technology-neutral and domain-neutral.
Determination may concern Harm in:
physical
medical / health
digital
financial
property
environmental
organizational
cognitive
or:
societal
contexts.
Domain-specific methods may differ.
The methodological requirement for governed Determination remains
consistent.
- Determination Threshold
A Determination Threshold defines the level of support required to
establish the applicable Determination State.
The threshold must be:
explicit
appropriate
consistent
traceable
and:
separate from downstream legal standards
Canonical distinction:
Harm Determination Threshold ≠ Legal Liability Threshold
- Recognition Threshold ≠ Determination Threshold
HRS may recognize Harm before the basis is sufficient for formal
Determination.
Therefore:
Recognition Confirmation Threshold ≠ Harm Determination Threshold
This allows governance to act on recognized Harm without falsely claiming
that formal Determination has already occurred.
- Emergence Threshold ≠ Determination Threshold
HEMS governs when Harm begins to exist.
HDS governs when the available governed basis can formally establish it.
Therefore:
Harm Emergence Threshold ≠ Harm Determination Threshold
The epistemic state of governance must not redefine the reality state of
Harm.
- Determination Evaluation
Evaluation applies the governed criteria to the qualified inputs.
It must consider:
supporting information
contradictory information
uncertainty
limitations
scope
confidence
alternative interpretations
composite relationships
and:
material missing information
The purpose is not to eliminate uncertainty.
It is to govern uncertainty sufficiently to reach the legitimate
determination state.
- Uncertainty Does Not Automatically Prevent Determination
Absolute certainty is not a universal requirement.
Canonical principle:
Determination does not require uncertainty to disappear; it requires
uncertainty to be governed.
A Harm may be:
Established
while some secondary characteristics remain uncertain.- Determination Sufficiency
Sufficiency concerns whether the complete governed basis meets the
applicable Determination Criteria.
It must not be reduced to:
number of reports
number of evidence items
number of affected subjects
visibility
or:
institutional acknowledgement
Canonical distinction:
More Information ≠ Sufficient Determination Basis by Default
- Composite Determination Basis
Harm may be established through several individually insufficient elements
that become sufficient collectively.
Conceptually:
Input A + Input B + Input C → Sufficient Determination Basis
Therefore:
Individual Insufficiency ≠ Composite Insufficiency
This is essential for:
distributed Harm
accumulated Harm
collective Harm
cross-system Harm
and:
AI-mediated Harm
- Fragmented Evidence ≠ Fragmented Harm
Evidence may exist across:
systems
organizations
subjects
agents
sessions
locations
or:
time periods
HDS must be capable of evaluating the governed basis as a coherent whole.
Canonical principle:
Evidence fragmentation must not make a materially coherent Harm
undeterminable by default.
- Local Insufficiency ≠ Global Insufficiency
An individual component may not establish Harm independently.
The complete operational structure may.
Therefore:
Local Insufficiency ≠ Global Insufficiency
HDS must support determination at the level at which Harm actually exists.
- No Single Harm-Producing Action
Some Harm cannot be reduced to one action.
It may emerge through:
accumulation
interaction
distributed execution
continuous conditions
multiple individually insufficient actions
or:
composite operational behavior
Therefore:
No Single Harm-Producing Action ≠ No Determinable Harm
- Non-Linguistic Harm Determination
HDS must not require:
prompt history
textual reasoning
linguistic decision
or:
explicit verbal instruction
for Harm to be determinable.
Autonomous systems may move directly through:
Perception → Interpretation → Decision → Action → Consequence
Harm Determination must follow the consequence and governed reality.
- Subject Report
A subject report may materially contribute to Determination.
But:
Subject Report ≠ Automatic Harm Determination
Nor may its absence establish:
No Harm
A report is an input whose governance status must be evaluatedappropriately.
- Machine Detection
AI or automated systems may detect Harm-relevant conditions.
But:
Machine Detection ≠ Automatic Harm Determination
Automated analysis may contribute to Determination while remaining subject
to governed criteria, provenance, uncertainty, and validation.
- Institutional Recognition
An institution may acknowledge Harm.
That acknowledgement may be relevant.
But:
Institutional Acknowledgement ≠ Harm Determination by Default
Likewise:
Institutional Non-Acknowledgement ≠ No Harm
Authority status alone does not determine methodological truth.
- Visibility Bias
Highly visible Harm must not receive a lower Determination threshold
merely because it is obvious.
Less visible Harm must not receive an impossible threshold merely because
it is difficult to observe.
Therefore:
Visibility ≠ Determination Legitimacy
- Severity Bias
Severe potential consequences must not substitute for Determination.
Similarly, apparently minor consequences must not prevent Determination
where criteria are satisfied.
Therefore:
Harm Severity ≠ Determination Sufficiency
- Outcome Bias
The consequences of Determination may include:
organizational response
financial exposure
accountability review
claims
regulatory attention
or:
liability questions
These consequences must not determine whether Harm is established.
Canonical principle:
The consequences of a Harm Determination must not determine the Harm
Determination itself.
- Accountability Neutrality
HDS determines Harm.
AGA™ governs accountability.
Therefore:
Harm Determination ≠ Accountability Determination
A Harm may be established while accountability remains:
unknown
distributed
disputed
or:
not established
- Responsibility Neutrality
Harm may be determined without determining who had responsibility to
prevent it.
Therefore:
Determined Harm ≠ Responsibility Assigned
- Liability Neutrality
Legal liability requires separate legal and jurisdictional analysis.
Therefore:
Determined Harm ≠ Liability Established
and:
No Liability ≠ No Harm
This boundary is fundamental.
- Causation Boundary
HDS may require sufficient causal association to establish that the
governed Harm exists as bounded.
It does not become a general causation or forensic architecture.
Therefore:
Sufficient Harm Association ≠ Complete Causal Attribution
The determination should establish no more causation than necessary for
the Harm determination itself.
- Boundary Integrity During Determination
HDS operates on the Governed Harm Boundary.
It must not silently change that boundary merely to make Determination
easier.
If evaluation reveals:
additional subjects
earlier Harm
new effects
new downstream consequences
or:
a separate Harm
the relevant HBS governance should be reopened.
Canonical principle:
Determination must evaluate the governed Harm Boundary, not rewrite it
invisibly.
- Partial Determination
Not every dimension of Harm may be equally established.
A determination may therefore be:
Partially Established
Example:Harm existence may be established while some:
subjects
historical periods
effects
or:
downstream consequences
remain unresolved.
Partial Determination must specify exactly what is established and what
remains open.
- Determination States
HDS recognizes at minimum:
Established
Partially Established
Pending
Insufficient Basis
Not Established
These states must not be collapsed.- Established
Established means the governed basis satisfies the applicable
Determination Criteria sufficiently to formally establish the bounded
Harm.
Established does not mean:
every fact is known
every cause is known
every subject is identified
accountability is assigned
or:
liability exists
- Partially Established
Partially Established means a material portion of the Harm can be formally
established while specified parts remain unresolved.
The unresolved portion must remain explicit.
Partial establishment must not be represented as complete establishment.
- Pending
Pending means Determination cannot yet legitimately be completed because
relevant governance remains active or necessary.
Examples include:
required information pending
boundary reassessment
validation pending
material contradiction unresolved
additional evaluation required
Pending is not a negative conclusion.
- Insufficient Basis
Insufficient Basis means the available governed basis does not currently
support the required Determination threshold.
Canonical distinction:
Insufficient Basis ≠ No Harm
The Harm may exist even where governance cannot currently establish it.
- Not Established
Not Established means the governed evaluation does not establish the Harm
under the applicable criteria.
This state must remain distinguishable from:
Insufficient Basis
because:failure of support
and:
support for non-establishment
are not necessarily the same epistemic condition.
- Negative Evidence
Information materially supporting non-establishment must be distinguished
from simple absence of supporting information.
Therefore:
Absence of Supporting Evidence ≠ Evidence of Absence
This distinction must be preserved in the Determination Record.
- Contradictory Inputs
Where materially credible inputs conflict, HDS must preserve:
supporting basis
contradictory basis
scope of conflict
effect on confidence
effect on Determination State
Conflict must not be silently discarded.
- Determination Conflict
Different evaluators or systems may reach different determinations.
HDS must support:
Determination Dispute
without automatically treating either conclusion as authoritative merelybecause of organizational status.
- Determination Confidence
HDS may associate confidence with a Determination State.
Confidence must remain separate from the state itself.
For example:
Established — Moderate Confidence
may be legitimate where criteria are met but some uncertainty remains.Canonical distinction:
Determination Confidence ≠ Harm Severity
- Determination Scope
Every determination must specify what was determined.
At minimum, this may include:
Harm object
subject scopetemporal scope
effect scope
downstream scope where applicable
determination criteria
determination state
limitations
This prevents vague statements such as:
“Harm occurred”
from replacing a governed determination.
- Determination Reassessment
A Determination State may require reassessment when:
new information appears
evidence changes
validation changes
integrity concerns arise
the Harm Boundary changes
material contradiction is resolved
previous assumptions become invalid
Reassessment must preserve prior states.
- Determination Reopening
A closed Determination may be reopened where materially relevant new
information justifies reconsideration.
Reopening must not erase the original determination.
The record should preserve:
Determination₁ → New Basis → Reassessment → Determination₂
- Determination Correction
Where an error is discovered, HDS must support correction.
Corrections must preserve:
original conclusion
error
corrected conclusion
reason
time
authority / methodology used
Canonical principle:
Correction must change the determination without rewriting its history.
- Determination Version Continuity
A governed Harm may therefore have:
Determination State₁
Determination State₂
Determination State₃
Each state must remain traceable.
The latest determination does not erase the methodological history of how
the Harm was governed.
- Governed Harm Record
The principal HDS output is:
Governed Harm Record
The record establishes the formal methodological representation of thedetermined Harm.
It should preserve, where applicable:
Harm identity
Recognition reference
Governed Harm Boundary
qualified determination inputscriteria
evaluation
uncertainty
contradictions
Determination State
confidencelimitations
history
reassessment status
- Governed Harm Record ≠ Incident Record
An incident record describes an event or operational occurrence.
A Governed Harm Record represents the Harm object established through
HAGA™.
Therefore:
Incident Record ≠ Governed Harm Record
One incident may create:
no Harm
one Harm
or:
multiple Harms
Likewise, one Harm may arise without one discrete incident.
- Governed Harm Record ≠ Claim
A claim is a downstream procedural, contractual, insurance, or legal
object.
Therefore:
Claim Record ≠ Governed Harm Record
The existence or absence of a claim must not define Harm Determination.
- Governed Harm Record ≠ Liability Finding
A Harm Record may later support liability analysis.
It does not itself determine liability.
Therefore:
Governed Harm Record ≠ Liability Record
- Evidence Traceability
Material evidence supporting Determination should remain traceable through
ADIT® where applicable.
HDS must know:
what was relied upon
without becoming the architecture that governs evidence formation itself.
- Validation Dependency
Where a determination depends materially on validated information, HDS
should preserve the relevant validation state.
But:
Validated Evidence ≠ Harm Determination by Default
VALIDOS™ establishes validation.
HDS determines what the validated basis means for Harm.
- Integrity Dependency
Integrity issues may materially affect Determination.
But:
Integrity State ≠ Harm Determination State
INTEGROS® governs integrity.
HDS uses relevant integrity conclusions without absorbing that governance
space.
- Operational Reality Dependency
ORA™ may establish:
what actually happened
what system executed
what state existed
what operational sequence occurred
HDS may rely on that operational reality.
But:
Operational Failure ≠ Harm Determination by Default
A failure can occur without Harm.
Harm can also exist without a conventional operational failure.
- AI Behavior Boundary
AIG® may establish unsafe or problematic AI behavior.
But:
Unsafe AI Behavior ≠ Determined Harm by Default
HDS determines whether Harm has been established.
- Autonomous Execution Boundary
ASGA™ governs autonomous execution.
An autonomous system may violate a governance constraint without producing
Harm.
Conversely, Harm may emerge through a composite operation without one
individually prohibited action.
Therefore:
Autonomous Governance Violation ≠ Harm Determination by Default
- Simulation Boundary
SIMULOS® may demonstrate that Harm could occur under simulated conditions.
But:
Simulated Harm ≠ Determined Actual Harm
Simulation may support analysis.
It does not replace real-world Harm Determination.
- Prediction Boundary
Predicted future Harm remains distinct from existing Harm.
Therefore:
Predicted Harm ≠ Determined Existing Harm
HAGA™ governs Harm that has emerged into the Harm lifecycle.
- Value Boundary
VFM® may establish Value change resulting from an event or Harm.
But:
Value Loss ≠ Harm Determination by Default
and:
No Value Loss ≠ No Harm
- Tax and Jurisdiction Boundary
TREGA™ governs Tax-Relevant Events.
Jurisdictional systems may determine legal consequences.
Neither defines methodological Harm Determination.
Therefore:
Jurisdictional Classification ≠ Harm Determination
- Determination Independence
A legitimate determination process must remain protected from pressure to
reach a preferred result.
Potential pressures include:
financial exposure
reputational impact
organizational hierarchy
insurance consequences
legal strategy
regulatory consequences
political pressure
system performance targets
Canonical principle:
The preferred consequence of a determination must not become the
methodology for reaching it.
- Determination Consistency
Comparable Harm objects governed under comparable criteria should not
receive materially different Determination treatment without a documented
reason.
Consistency does not require identical conclusions.
It requires consistent methodology.
- Human and Machine Determination
Determination may involve:
human evaluators
AI systems
automated decision supportor:
hybrid governance
Regardless of implementation:
the criteria, basis, uncertainty, state, and record must remain
governable.
Machine automation does not remove methodological accountability.
- Determination Explainability
A Determination State should be explainable through:
what was evaluated
against which criteria
using which governed inputs
with what uncertainty
with what contradictions
and:
why the final state was reached
Explainability must follow the determination methodology rather than
reconstructing a plausible explanation afterward.
- Handoff to Harm State
Once HDS establishes a:
Governed Harm Record
HSS can govern:What is the current governed state of Harm?
This separation is essential.
HDS establishes:
whether and what Harm exists as a formally governed object.
HSS governs:
the state of that Harm over time.
Therefore:
Harm Determination ≠ Harm State Classification
- Governance Requirements
HDS requires that:
- Recognition remain distinct from Determination
- Determination operate on a governed Harm Boundary
- available information remain distinct from qualified
Determination
inputs; - Determination Criteria be explicit and precede the conclusion; -
Determination thresholds remain distinct from Recognition, Emergence,
legal, liability, and claim thresholds; - uncertainty be governed rather
than artificially eliminated; - contradictory inputs remain visible; -
composite and distributed Determination bases remain supportable; - local
insufficiency not automatically become global insufficiency; - no single
Harm-producing action be required where Harm exists at composite level; -
subject reports, machine detection, and institutional acknowledgement not
automatically determine Harm; - visibility and severity not substitute for
Determination sufficiency; - accountability, responsibility, liability,
and claim consequences remain outside the HDS conclusion; - boundary
changes trigger appropriate boundary reassessment rather than silent
rewriting; - Established, Partially Established, Pending, Insufficient
Basis, and Not Established remain distinct; - absence of supporting
evidence remain distinct from evidence of absence; - Determination
confidence remain distinct from Harm severity; - reassessment, reopening,
and correction preserve history; - every formal Determination produce a
traceable Governed Harm Record.
- Governance Logic
HDS applies the following logic:
Has HRS produced a governed Recognition state and HBS established a
Governed Harm Boundary?
If no:
→ formal Harm Determination is not ready.
If yes:
→ qualify the determination inputs.
Are the required inputs fit for the applicable determination?
If no:
→ identify missing or insufficient basis.
If yes:
→ apply explicit Determination Criteria.
Does the basis contain uncertainty or contradiction?
If yes:
→ govern it explicitly rather than removing it from analysis.
Do individually insufficient elements become sufficient collectively?
If yes:
→ evaluate the composite basis.
Does the complete basis satisfy the Determination threshold?
If yes:
→ establish Established or, where only part is supported, Partially
Established.
If evaluation remains materially incomplete:
→ establish Pending.
If the available basis cannot support Determination:
→ establish Insufficient Basis.
If governed evaluation supports non-establishment:
→ establish Not Established.
Has evaluation revealed a material boundary problem?
If yes:
→ return the affected boundary dimension to HBS rather than silently
changing it.
Has Harm been established?
If yes:
→ create or update the Governed Harm Record and hand it to HSS.
At every stage:
Recognition ≠ Determination
Uncertainty ≠ No Harm
Insufficient Basis ≠ No Harm
Composite Sufficiency ≠ Individual Sufficiency
Determined Harm ≠ Accountability
Determined Harm ≠ Liability
- Governance Outputs
HDS may produce:
Qualified Harm Determination Input Set
Determination Criteria Set
Determination Threshold
Determination Evaluation
Determination Sufficiency State
Determination Uncertainty State
Determination Conflict State
Determination Confidence
Established Harm State
Partially Established Harm State
Pending Harm Determination
Insufficient Basis State
Not Established State
Determination Reassessment
Determination Reopening
Determination Correction
Determination History
and:Governed Harm Record
The principal output is:Governed Harm Record
- Critical Distinctions
Recognition ≠ Determination
Failure to Reach Determination ≠ Proof That Harm Does Not Exist
Available Information ≠ Qualified Determination Input
Recognition Threshold ≠ Determination Threshold
Harm Emergence Threshold ≠ Harm Determination Threshold
Harm Determination Threshold ≠ Legal Liability Threshold
More Information ≠ Sufficient Determination Basis
Individual Insufficiency ≠ Composite Insufficiency
Local Insufficiency ≠ Global Insufficiency
No Single Harm-Producing Action ≠ No Determinable Harm
Subject Report ≠ Automatic Harm Determination
Machine Detection ≠ Automatic Harm Determination
Institutional Acknowledgement ≠ Harm Determination
Institutional Non-Acknowledgement ≠ No Harm
Visibility ≠ Determination Legitimacy
Harm Severity ≠ Determination Sufficiency
Harm Determination ≠ Accountability Determination
Determined Harm ≠ Responsibility Assigned
Determined Harm ≠ Liability Established
No Liability ≠ No Harm
Insufficient Basis ≠ No Harm
Absence of Supporting Evidence ≠ Evidence of Absence
Determination Confidence ≠ Harm Severity
Incident Record ≠ Governed Harm Record
Claim Record ≠ Governed Harm Record
Governed Harm Record ≠ Liability Record
Validated Evidence ≠ Harm Determination
Operational Failure ≠ Harm Determination
Unsafe AI Behavior ≠ Determined Harm
Simulated Harm ≠ Determined Actual Harm
Predicted Harm ≠ Determined Existing Harm
Value Loss ≠ Harm Determination
Harm Determination ≠ Harm State Classification
- Canonical Boundary
The Harm Determination Standard (HDS) governs whether a recognized and
bounded Harm can legitimately be formally established as a governed Harm
object and what Harm has been established. It governs qualified
determination inputs, Determination Criteria, thresholds, evaluation,
sufficiency, composite determination, uncertainty, contradiction,
Determination States, confidence, reassessment, reopening, correction,
historical continuity, and the formation of the Governed Harm Record. It
does not determine Harm Emergence, perform Harm Recognition, establish or
silently modify the Harm Boundary, govern Harm State or propagation,
establish general causation beyond what is necessary for Harm
Determination, assign accountability or responsibility, determine
liability, govern claims or compensation, or replace operational reality,
evidence, validation, integrity, identity, AI behavior, autonomous
execution, simulation, Value, prediction, tax-event, or
jurisdiction-specific governance.
- Canonical Closing Statement
Harm should not become formally established merely because it has been
alleged, observed, reported, recognized, feared, or institutionally
acknowledged. Nor should Harm disappear from governance merely because
absolute certainty is unavailable.
HDS governs the space between those two failures.
It requires Harm to be established through explicit criteria, qualified
inputs, governed uncertainty, and a traceable determination — while
preserving the fundamental distinction between what exists in reality and
what governance can currently prove.
A legitimate Harm Determination does not manufacture Harm. It establishes,
with governed discipline, what Harm can legitimately be said to have been
established.