PLENA Autonomous Mobility AI Trust Suite
Part of the AI Accountability & Human Review Suite

Autonomous Mobility & Self-Driving Vehicle AI Trust Suite

For autonomous-vehicle operators, robotaxi platforms, self-driving research programs, fleet operators, manufacturers, and mobility insurers that need AGI-era proof workflows for event logs, human takeover, consent, safety incidents, and accountability.

Sector truth boundary. PlenaProof does not certify autonomous vehicles, software releases, sensor calibration, or safety-management systems. PlenaProof does not adjudicate liability for any incident, near-miss, or collision, and does not replace NHTSA, UNECE, SAE J3016, or any other mobility-safety authority. PlenaProof helps organize the event file so a regulator, insurer, manufacturer, or operator reviewer can act on a cleaner record.

Parent suite

AI Accountability & Human Review Suite

AI Accountability & Human Review helps institutions document when AI was used, who reviewed the output, what was accepted or rejected, what was escalated, and what receipt or audit trail was produced.

The buyer-ready output of this suite is the Human Review & AI Decision Audit Pack. Sector pages translate the suite’s workflow into the buyer’s standards vocabulary; the suite carries the underlying architecture.

Back to the eight locked suites

How sector pages relate to suites

The institutional surface is organised around eight locked suites. Each sector page lives under one parent suite and reuses that suite’s workflow, named human-reviewer pattern, and buyer-ready output. The sector page changes the vocabulary, the named standards, and the workflow language so the buyer recognises their own world.

Diagnostic modules are recommended on top of the suite’s core platforms when the workflow reveals deeper risk — not as passive optional extras.

The AGI-era proof layer

PlenaProof emphasises what AI and AGI cannot easily replace — real-world proof, lawful human consent, institutional accountability, durable records, chain of custody, human review, cross-border trust, verification receipts, evidence continuity, and sealed institutional memory.

Three lines

  • AI can generate. PlenaProof proves.
  • AI can simulate. PlenaProof records what actually happened.
  • AI can advise. PlenaProof proves who reviewed, accepted, rejected, appealed, or sealed the decision.

Challenge-ready

PlenaProof helps institutions become challenge-ready.

When a decision is questioned by a student, client, regulator, board, funder, court, employee, journalist, parent, donor, partner, or public agency, the institution can show what was submitted, who reviewed it, what was missing, what was accepted or refused, what was escalated, and what was preserved.

AGI-era buyer language

Event logs · human takeover · consent · safety incident packets · accountability

  • Self-driving operation is AI-assisted decision-making at scale; every incident, near-miss, and human takeover needs a visible reviewer of record and a defensible audit trail.
  • Event time, location, route, passenger and operator presence, remote-operator action, software version, and maintenance state must be reconstructable when a regulator, insurer, or claimant asks.
  • Consent, geofence, route, passenger notice, and accessibility procedures need continuity across software updates, fleet changes, and operator transitions.

Named standards, regulators, and references

Examples for buyer recognition and checklist design. Confirm the applicable jurisdiction before treating any reference as binding. Not legal advice; not regulator endorsement.

  • NHTSA, UNECE, ISO 26262, ISO/PAS 21448, SAE J3016, or local mobility-safety references where applicable
  • Incident, collision, near-miss, remote-operator, and human-takeover records
  • Consent, geofence, route, passenger notice, and accessibility procedures
  • Maintenance, software-update, sensor-calibration, and fleet-safety evidence
  • Insurance, regulator, manufacturer, and operator review packets
  • NIST AI RMF and ISO/IEC 42001 as AI governance references

Sector-specific PLENA proof workflow

Every institutional workflow follows the same universal flow shape: Intake → Review → Receipt → Escalation → Archive. The sector page translates each step into the buyer’s standards vocabulary; the underlying pattern is locked across all eight suites.

Intake. Autonomous trip, vehicle, fleet, or incident file is opened in PROVA; event time, location, route, passenger presence, human takeover, remote-operator action, software version, and maintenance records are captured.
Review. A named human reviewer of record examines the file; DETECTA flags contradictory evidence, missing custody links, suspicious media, or duplicate incident claims.
Receipt. A Human Review Receipt is issued when AI reconstructs events, classifies risk, recommends response, or denies/accepts a claim; a PLENA VRX-1 submission receipt is generated.
Escalation. Regulator inquiry, insurer query, claimant appeal, or manufacturer review follows a documented escalation path through TEMPORA and AEQUITA.
Archive. Regulator, insurer, operator, manufacturer, or claimant packet is preserved in PLENA CONSERVA, with PLENA VRX-1 public verification handles where appropriate.

Recommended PLENA route

PROVADETECTAAEQUITATEMPORAPLENA CONSERVAPLENA SIGILLAVERITA

PROVA organizes the event file. DETECTA flags contradictory or synthetic evidence. AEQUITA carries the fairness and appeal axis for AI-assisted decisions. TEMPORA tracks reporting and review windows. PLENA CONSERVA preserves the audit trail. PLENA SIGILLA seals regulator and insurer packets. VERITA carries identity context.

Open Verify, Paid Create: public verification can be open, while creation, management, renewal, preservation, staff training, registry controls, and audit exports remain paid or permissioned services.

Front-end preview output

{ "sector": "Autonomous Mobility & Self-Driving Vehicle AI Trust Suite", "parent_suite": "AI Accountability & Human Review Suite", "buyer_ready_output": "Human Review & AI Decision Audit Pack", "route": [ "PROVA", "DETECTA", "AEQUITA", "TEMPORA", "PLENA CONSERVA", "PLENA SIGILLA", "VERITA" ], "universal_flow": [ "Intake", "Review", "Receipt", "Escalation", "Archive" ], "receipt_logic": "Human Review Receipt + PLENA VRX-1 submission receipt; refusal receipt where the institution declines; sealing receipt where cross-border or formal handover applies", "export_note": "Regulator, insurer, operator, manufacturer, or claimant packet with PLENA VRX-1 public verification handles.", "boundary": "Preview workflow only; not legal advice, not formal certification, not a backend institutional registry unless implemented." }

Driver and gig-worker transition accountability

As autonomous vehicles and AI agents displace tens of millions of drivers and gig workers globally — most of them in developing economies — the accountability gap between what employers, platforms, and governments promise about transition support and what they deliver becomes a category-defining trust problem. PLENA's receipt grammar serves this gap through workforce transition commitment receipts (named-human attestation of promised severance, retraining, or income support), displacement refusal receipts (when commitments are declined or not honoured), and continuity-of-livelihood attestations across jurisdictions and platforms.

PlenaProof does not represent any workforce, union, regulator, or AV operator. PLENA's receipt grammar is designed to make commitments verifiable, refusable, and correctable — not to enforce them. Enforcement remains the role of labour regulators, courts, unions, worker organisations, and counsel. PLENA's receipt grammar is also designed to layer on top of tamper-evident technical logging frameworks such as the Driving Vehicle Protocol (DVP) and Vehicle Audit Posture (VAP) framework, providing the named-human attestation layer above the technical decision logs maintained by autonomous-vehicle operators.

Related: FORTIA (worker rights), AEQUITA (algorithmic decision audit), PROVA (evidence packets), Refusal Receipts, Sworn Human Reviewer Registry, and the Social Safety Net Accountability page.

What PlenaProof is, and is not

The truth-boundary block carried across every institutional and sector surface. It is non-negotiable across the eight suites.

PlenaProof provides

  • Verification-readiness for credentials, claims, documents, and institutional records.
  • Proof organization, evidence packets, and reviewable receipts.
  • Human-review documentation with named reviewer, scope, date, decision, reason, and appeal path.
  • Diagnostic routing across the fourteen platforms and recommended modules.
  • Public-safe verification surfaces where institutions choose to expose them.
  • Durable record continuity across staff turnover, audit cycles, and institutional handover.

PlenaProof does not

  • Does not issue passports, national IDs, visas, official credentials, court records, or government documents.
  • Does not replace universities, registrars, legal offices, compliance teams, banks, courts, governments, or regulators.
  • Does not provide legal advice.
  • Does not guarantee regulatory compliance.
  • Does not certify AI systems unless a real certification program exists.
  • Does not claim formal partnerships or blockchain anchoring unless actually implemented.
  • Does not replace apostilles, notarization, embassies, government seals, official certification, or legal authentication.