The Project: Portfolio Hiring AI. A revolutionary application of QGI that replaces biased resumes with scenario-based work simulations and objective capability metrics.
QG Invariant Governance Runtime Flow
QGI governs AI in real time by validating actions, evaluating outputs against policy, resolving conflicts, and enforcing compliance—ensuring controlled, transparent, and auditable decisi
QGI operates as a governance layer that runs alongside AI systems. It does not replace AI models—it controls how they behave, ensuring every decision is evaluated, constrained, and auditable.
Step 1 — Input & Request Initiation
A request enters the system (e.g., evaluating a candidate, generating a
recommendation, or making a prediction).
The AI model prepares to process:
- input data
- task or action request
Step 2 — Tier 4: Scope Gate (Preflight Control)
Before the AI executes, QGI checks:
- Is this action allowed in the organization?
- Is the data permitted?
If the request violates scope (e.g., uses restricted data or performs an unauthorized action), it is blocked immediately.
Step 3 — Tier 1: Policy Compiler
Load the governance configuration for a given context, including risk tolerance, thresholds, and control requirements. In other words, configure the required governance profile. This includes at least the following:
- Fairness strictness
- Privacy sensitivity
- Transparency requirements
- System stability tolerance
Tier 1 defines the governance profile—how strict the system should be and what limits must be enforced.
Step 4 — Tier 2: Evaluation Engine
QGI analyzes the AI output in real time by measuring it across six governance areas:
- Safety
- Autonomy
- Privacy (boundary)
- Fairness
- Transparency
- System stability
Each area is converted into a measurable score and compared against predefined thresholds.
Step 5 — Tier 3: Regulatory Mapping & Execution
Once a final action is selected, QGI translates it into required obligations:
- audit logs
- human review (if required)
- user disclosure
- compliance actions aligned with regulations
Step 6 — Meta-Alignment (When Needed)
During Tier 2 execution, if no acceptable decision exists, QGI activates its Meta-Alignment process:
- evaluates alternative actions (e.g., approve, reject, request more data, escalate)
- selects the least harmful and most balanced option
This ensures decisions remain controlled even in complex or conflicting situations.
Step 8 — Final Output
The system produces:
- the final decision or action
- explanation and reasoning
- full audit record
Continuous Monitoring (System Integrity Controls)
QGI continuously monitors:
- model drift (changes in behavior over time)
- validation freshness (when revalidation is required)
If risks increase, the system triggers re-evaluation or human oversight.
In Summary
QGI ensures that every AI decision is:
- checked before execution
- evaluated after execution
- resolved if conflicts arise
- recorded for audit and compliance
This transforms AI governance from a manual process into a continuous, operational system.