Lakhowal constitutional federated system for autonomous and ai systems.

A constitutional governance system for an autonomous or artificial-intelligence system, the constitutional governance system comprising:

• (a) a Universal Integrity and Perception Module configured to compute, on each operational cycle, a coherence index, an integrity-flux metric, a non-compensatory residual computed as a maximum across per-dimension deficits, fairness and harm metrics, and provenance and redaction forensic indicators including a semantic-tone-drift indicator, a tone-suppression indicator, and a rights-avoidant-redaction indicator;
• (b) a constitutional gatekeeper configured to:
• (i) block actuation when the non-compensatory residual is greater than zero;
• (ii) force a parameter-update step to zero when the non-compensatory residual is greater than zero;
• (iii) cause an evidence record to be generated and cryptographically signed;
• and (iv) notify a human supervisor through a human sovereignty interface;
• (c) a Reverse-Law permit engine configured to perform, within the same operational cycle as a candidate actuation:
• evidence validation, lineage verification by reference to a policy hash, token verification, and actuation approval;
• (d) a federated token authority configured to issue multi-signature operational tokens, to enforce a fleet-consistency condition at least 0.95, and to propagate revocation messages with a percentile latency not greater than thirty seconds;
• and
• (e) a Public Integrity Ledger configured to publish a privacy-preserving digest derived from a plurality of said evidence records and excluding all personally-identifiable information,
• wherein the system is configured to permit actuation only when the non-compensatory residual equals zero, a same-cycle evidence record has been generated and cryptographically signed, and a valid multi-signature operational token is present.

A computer-implemented method for constitutional governance of an autonomous or artificial-intelligence system, the method comprising:

• (a) computing, on each operational cycle, a coherence index, an integrity-flux metric, a plurality of metrics including fairness and harm metrics, and provenance and redaction forensic indicators including a semantic-tone-drift indicator, a tone-suppression indicator, and a rights-avoidant-redaction indicator;
• (b) computing a non-compensatory residual as a maximum across deficits in technical metrics, deficits in ethical metrics, deficits in operational metrics, provenance violations, token invalidity, and hard-stop conditions;
• (c) when the non-compensatory residual is greater than zero, causing the autonomous or artificial-intelligence system to abstain from actuation, forcing a parameter-update step to zero, generating and cryptographically signing an evidence record, notifying a human supervisor, and scheduling a reflection cycle;
• (d) when the non-compensatory residual equals zero, generating and cryptographically signing an evidence record, validating a multi-signature operational token, and verifying lineage by reference to a policy hash;
• (e) permitting actuation only when the non-compensatory residual equals zero, a same-cycle evidence record has been generated and cryptographically signed, and a valid multi-signature operational token is present;
• and
• (f) publishing a privacy-preserving digest derived from a plurality of said evidence records and excluding all personally-identifiable information.

An alignment-and-explainability subsystem for an autonomous or artificial-intelligence system, the alignment-and-explainability subsystem comprising:

• (a) one or more processors configured to compute, on each operational cycle, an alignment signal and an explainability signal associated with the autonomous or artificial-intelligence system;
• and
• (b) a deficit interface configured to provide a deviation of the said alignment signal and a deviation of the said explainability signal to a constitutional gatekeeper as deficit components of a non-compensatory residual computed by the constitutional gatekeeper.
• wherein the alignment-and-explainability subsystem is structurally distinct from a Universal Integrity and Perception Module of the autonomous or artificial-intelligence system, and wherein a non-zero deviation of the said alignment signal or of the said explainability signal is configured to propagate through the constitutional gatekeeper and to cause the autonomous or artificial-intelligence system to abstain from actuation.

A public integrity ledger subsystem for an autonomous or artificial-intelligence system, the public integrity ledger subsystem comprising:

• (a) an input interface configured to receive a plurality of cryptographically-signed evidence records, each said evidence record consisting strictly of numeric fields, cryptographic hashes, and cryptographic signatures, and excluding personally-identifiable information;
• (b) a digest computation module configured to compute, from a plurality of said evidence records, a privacy-preserving aggregate digest comprising:
• (i) a pass-ratio statistic;
• (ii) a first-failing-gate distribution;
• (iii) an audit-integrity-score summary and a provenance-conformance-index summary;
• (iv) aggregated provenance-integrity indicators derived from a semantic-tone-drift indicator, a tone-suppression indicator, and a rights-avoidant-redaction indicator;
• (v) energy and environmental compliance bands;
• and
• (vi) revocation statistics including a percentile revocation-propagation latency;
• (c) a redaction interface configured to enforce that the said privacy-preserving aggregate digest excludes all personally-identifiable information;
• and
• (d) a publication interface configured to make the said privacy-preserving aggregate digest available to one or more external parties.