Behavioral Correction Authorization Module - (BCAM)
OOF™ Origin Open Foundation™
Independent Methodological Authority
OriginID: OOF-OID-AIG-BCS-BCAM-2026-06-26-0003
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: AI Governance Architecture (AIG®)
Operational Layer: AI Behavioral Governance Layer
Governed Space: Behavioral Correction Authorization
Category: Governance & Enforcement
Subcategory: AI Behavioral Correction Governance
Type: Behavioral Correction Standard Module
Parent Standard: Behavioral Correction Standard (BCS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 26 June 2026
Compatibility: OOF Methodology OS · AI Governance Architecture (AIG®) · Governance
Architecture (GOA™) · Operational Reality Architecture (ORA™) · Cognitive
Governance Intelligence Architecture (CLIA®) · Memory Governance Intelligence
Architecture (MGIA™) · Accountability Governance Architecture (AGA™)
AI-Readable: Yes
Authority: OOF
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)
Canonical Definition System
Canonical DefinitionBehavioral Correction Authorization Module (BCAM) defines the structural
conditions under which AI behavioral corrections are authorized, approved,
delegated, or rejected through accountable governance before corrective
actions are implemented.
BCAM governs behavioral correction authorization.
The module establishes the governance conditions required to ensure that
behavioral changes occur only through legitimate governance authority,
documented approval, and accountable decision-making.
Not every identified correction should be implemented.
Every implemented correction should be authorized.
BCAM governs that authorization.
Module Operational Space
BCAM governs:- correction authorization
- governance approval
- correction decision authority
- delegated authorization
- approval governance
- correction accountability
- authorization validation
- governance approval workflow
The module applies wherever organizations require formal governance approval
before AI behavior is modified.
Module Function
The module applies wherever systems must preserve:- authorized behavioral corrections,
- accountable governance decisions,
- documented approvals,
- delegated authority,
- transparent authorization,
- governance-valid correction execution.
Its function is to ensure that behavioral corrections are implemented only
after appropriate governance authorization has been granted.
Minimum Implementation Framework
1. Define the Behavioral Correction Authorization ObjectThe organization must define which behavioral corrections require formal
governance authorization.
2. Define Authorization Conditions
The system must define governance conditions including:
- approval authority,
- authorization criteria,
- governance accountability,
- supporting evidence,
- delegated authority,
- approval documentation.
3. Define Authorization Failure Detection Logic
The system must identify:
- unauthorized corrections,
- missing approvals,
- invalid authority,
- undocumented decisions,
- governance violations,
- governance-invalid authorization.
4. Define Operational Response or Governance Logic
Governance response may include:
- authorization review,
- governance approval,
- escalation,
- correction suspension,
- compliance assessment,
- accountability investigation.
5. Preserve Traceability & Restrict Invalid Conditions
The system must preserve reconstructable traceability of:
- authorization requests,
- governance approvals,
- delegated decisions,
- supporting evidence,
- implementation authorization,
- resulting governance outcomes.
An AI behavioral environment must not implement materially significant
behavioral corrections unless authorization can be independently demonstrated,
reviewed, validated, preserved, and governed.
Use Case 1 — AI Clinical Decision Platform
ScenarioA healthcare organization proposes modifying AI diagnostic behavior following
updated clinical governance requirements.
Application
BCAM ensures that the proposed correction receives formal governance approval
before deployment into patient care.
Result
The organization strengthens accountability, prevents unauthorized behavioral
changes, and preserves governance integrity.
Use Case 2 — Autonomous Energy Grid
ScenarioAn AI managing electrical grid optimization requires behavioral modification
after new regulatory requirements are introduced.
Application
BCAM verifies that authorized governance bodies approve the correction before
operational implementation.
Result
The utility provider maintains regulatory compliance, strengthens operational
oversight, and ensures that behavioral changes occur through legitimate
governance authority.