ASIC — ATIC System Integrity Certification
For AI vendors, data providers, model developers, and internal AI teams.
Artificial intelligence cannot be trusted unless the systems that produce it are built on lawful, traceable, and structurally sound data. ASIC — the ATIC System Integrity Certification — is the Commission’s formal evaluation of an AI system’s dataset integrity, provenance, lineage, and structural soundness.
A system certified under ASIC demonstrates that its intelligence is defensible, its origins are documented, and its training data can withstand legal, regulatory, and public scrutiny.
Purpose of ASIC
ASIC exists to ensure that AI systems are:
trained on lawful, licensed, or contractually valid data
free from contamination, duplication, and synthetic corruption
transparent in their lineage and transformations
structurally sound and auditable
independent of vendor lock‑in or opaque supply chains
ASIC protects institutions from hidden liabilities and unverifiable training sources by enforcing the Provenance & Integrity Standard at the system level.
What ASIC Evaluates
ASIC evaluates an AI system across seven dimensions of integrity:
1. Provenance Completeness
Evidence that all training data originates from lawful, documented sources.
2. Lineage Transparency
A complete, auditable record of dataset transformations, merges, filters, and synthetic augmentations.
3. Contamination Risk
Analysis of illegal, duplicated, misattributed, or unlicensed data within the training corpus.
4. Synthetic Exposure
Identification, labeling, isolation, and auditing of synthetic data used in training.
5. Structural Integrity
Assessment of dataset consistency, duplication rates, and corruption risks.
6. Vendor Independence
Verification that the system can be exported, migrated, or replaced without obstruction.
7. Governance Maturity
Evaluation of documentation quality, internal controls, and audit readiness.
The Value of ASIC
ASIC establishes that an AI system is:
lawful in its origins
traceable in its lineage
structurally sound
free from contamination
defensible under scrutiny
It is the highest standard of dataset and system integrity in the field.
Eligibility
ASIC is available to:
AI model developers
dataset providers
synthetic data vendors
internal enterprise AI teams
research labs and institutions
Any system that trains, fine‑tunes, or deploys AI models may apply.
Required Documentation
Applicants must submit:
dataset provenance records
lineage logs and transformation histories
contamination and duplication analysis
synthetic data disclosures
model version history
exportability and vendor independence documentation
governance and audit materials
ATIC performs an initial completeness review before formal evaluation.
Outputs of Certification
Upon completion, institutions receive:
Integrity Score
Certification Tier
Public Registry Listing
Required Remediations (if applicable)
Certification Report summarizing findings
Certification is valid for one year and must be renewed annually.
Certification Process
ASIC follows the unified ATIC certification workflow.
View the Certification Process → Process