Public AI Standards & Governance Participation Record — August 2026

This page is Frick-E Energy’s canonical public record of verified AI standards, guidance, and governance participation completed or initiated in August 2026.

The rule is simple: submission proves submission. An inquiry proves an inquiry. Publication proves publication. None of those things automatically prove adoption, endorsement, acceptance, partnership, invitation, policy change, or standards influence.

August 29, 2026 — NIST AI 200-2 TEVV-Athlon

Status: PUBLIC COMMENT SUBMITTED. DISPOSITION NOT YET KNOWN.

Frick-E Energy submitted recommendations on ground-truth provenance, feedback-loop dependence, distribution and consequence of model error, separation of descriptive findings from prescriptive authorization, and prospective evidence when inherited evidence is structurally limited.

Official process: https://www.nist.gov/artificial-intelligence/ai-research/tevv-athlon-framework-evaluating-ai-systems

August 29, 2026 — NIST AI 300-1 Public-Facing AI Documentation Zero Draft

Status: PUBLIC COMMENT SUBMITTED. DISPOSITION NOT YET KNOWN.

Frick-E Energy proposed documenting Outcome-Production Context and Prior Decision-System Influence / Feedback Dependence so provenance can capture not only where a dataset came from, but material human and institutional conditions that may have produced the outcomes represented inside it.

Official process: https://www.nist.gov/artificial-intelligence/nists-ai-standards-zero-drafts-pilot-project-accelerate-standardization

August 29, 2026 — NIST SP 1353, AI for CSF Analysis and Reporting

Status: PUBLIC COMMENT SUBMITTED. DISPOSITION NOT YET KNOWN.

Frick-E Energy recommended explicit evidence controls beyond prompt structure, a clearer boundary between source-grounded analysis and AI-applied best practice, claim-level provenance, caution against treating multiple-model agreement as independent validation, and visible separation of Evidence, Inference, Unknown, and Decision Required.

Official process: https://csrc.nist.gov/pubs/sp/1353/ipd

August 29, 2026 — NIST AI RMF Playbook

Status: PUBLIC COMMENT SUBMITTED. DISPOSITION NOT YET KNOWN.

Frick-E Energy submitted a focused recommendation connecting existing feedback-loop guidance to the use of newly collected ground truth. The comment asks organizations to test whether deployed AI outputs or AI-influenced decisions materially helped produce the outcomes later used as validation evidence.

Official resource and feedback process: https://airc.nist.gov/airmf-resources/playbook/

August 29, 2026 — NIST AI Standards Listening-Session Interest

Status: EXPRESSION OF INTEREST SENT. NO SESSION, INVITATION, OR PARTICIPATION CONFIRMED.

Frick-E Energy proposed a focused discussion on outcome provenance, feedback loops, error distribution, and the evidence-to-decision boundary across AI evaluation and documentation standards.

Official Zero Drafts project: https://www.nist.gov/artificial-intelligence/nists-ai-standards-zero-drafts-pilot-project-accelerate-standardization

August 29, 2026 — OECD Law as Code Consultation

Status: PHASE 2 PARTICIPATION INTEREST SENT. PARTICIPATION NOT YET CONFIRMED.

Frick-E Energy offered an industry and AI-governance perspective on authoritative legal source versus machine inference, provenance of transformations and assumptions, unresolved ambiguity, discretion, version changes, and institutional authorization. Frick-E Energy did not claim an existing government Law as Code implementation.

Official consultation: https://www.oecd.org/en/events/public-consultations/2026/07/consultation-on-the-digital-provision-of-law-towards-a-shared-reference-framework-for-law-as-code.html

August 29, 2026 — AICDI 2026 Scoring Methodology Consultation

Status: WRITTEN CONSULTATION FEEDBACK SUBMITTED. DISPOSITION NOT YET KNOWN.

Frick-E Energy supported the move toward evidence-backed governance maturity while recommending that governance maturity remain distinguishable from evidence quality or confidence. The submission also addressed named versus validated outcomes, feedback-loop or endogeneity risk, claim-level traceability in AI-assisted scoring, limited-evidence visibility, module-level critical risk, and separation of Evidence, Inference, Unknown, and Scoring Decision.

Official consultation: https://aicdi.trust.org/aicdi-scoring-methodology-2026-consultation/

August 29, 2026 — FADGI TCR4CAP v0.1

Status: PUBLIC COMMENT SUBMITTED. DISPOSITION NOT YET KNOWN.

Frick-E Energy recommended making explicit that content authenticity and provenance do not, by themselves, establish factual veracity. The submission proposed scoping validation to the specific claim proved, avoiding universal trust-badge interpretations, and preserving the type and scope of verified provenance claims for downstream machine interpretation.

Official project: https://www.digitizationguidelines.gov/guidelines/tcr-cap.html

Owned public analysis

Aggregate Accuracy Cannot Be the Finish Line for Consequential AI: https://www.frickeenergy.com/post/aggregate-accuracy-cannot-be-the-finish-line-for-consequential-ai

Historical Data Is Evidence. It Is Not Authority.: https://www.frickeenergy.com/post/historical-data-is-evidence-not-authority

What this record does not claim

Frick-E Energy will update this record only when new evidence changes a status. A submission will not be described as adoption. An inquiry will not be described as an invitation. Participation will not be described as endorsement. A public comment will not be described as policy influence unless the public record later supports that conclusion.

Public/private boundary

This record discloses public issues, recommendations, participation status, and observable outcomes. Frick-E Energy proprietary prompts, scoring logic, weighting, source hierarchy, evidence classifications, internal schemas, diagnostic architecture, implementation methods, and reconstruction-level methodology remain private.