Interview Duration: 5 minutes 00 seconds
Back to RepositoryThe EU AI Act establishes critical mandates for high-risk AI, but its reliance on documentation and post-hoc audits creates a significant gap between legal intent and technical enforcement.
Relies on documented processes, not real-time risk prevention.
Audits data quality at design-time, not in operation.
Provides post-hoc explanations, not verifiable proof.
Relies on reactive "stop buttons," not proactive value alignment.
Tested in a sandbox, not guaranteed in the real world.
The conventional model, based on checking compliance *after* an action has occurred (or during a periodic review).
The TML model, based on verifying compliance *before* any action is executed by the AI.
TML is a technical architecture that introduces a third computational state: "Moral Constraint." Every AI decision is first passed through a "Hybrid Shield" that validates it against this third state *before* execution.
(e.g., "Deny loan")
(Validate vs. 8 Pillars)
This enforcement is governed by eight core principles that are built into the AI's architecture.
Non-negotiable rules (e.g., do no harm) that cannot be overridden.
Perpetual, high-fidelity logging of all data and decisions for perfect provenance.
The AI must do *only* what it claims to do, preventing function creep.
Logs not just the "what" but the "why," tracing decisions to specific moral rules.
Binds the AI to a machine-readable version of fundamental rights (e.g., non-discrimination).
An environmental constraint layer to measure and limit the AI's energy footprint.
The active runtime engine that validates all actions against the other pillars.
Used to store Moral Trace Logs, making the audit trail immutable and verifiable.
This chart visualizes the difference in verifiable assurance. The EU Act's post-hoc model (red) provides a low, reactive level of assurance. TML's proactive model (blue) provides a high, architecturally-enforced level of assurance across all key articles.
Immutable, blockchain-based logs provide a 100% verifiable audit trail for regulators.
Human values are enforced *before* an action is taken, not after harm is done.
Moves compliance from a legal checklist to an automated, technical reality.