Safety Nexus / Executive brief

GB Standards AI Reviewer

An AI-assisted standards review concept for finding, comparing and explaining requirements while accountable technical professionals retain the final judgement.

Public proof case / 03

Role
Forward-deployed AI safety engineer
Evidence level
Public direction only
Domain
GB / TB / HKRS review
Reviewed
Decision signal

Use this case to assess high-trust AI design: retrieval is useful only when jurisdiction, edition, scope, citations and accountable review remain visible.

Evidence atoms

Problem

Requirements cross contexts

Teams need to retrieve and compare requirements without losing scope, definitions or project facts.

Alvin's role

High-trust workflow builder

The public portfolio identifies Alvin Liao as the practitioner behind this standards-review direction.

Workflow

Retrieve, compare, review

Scope the question, retrieve sources, draft comparison notes, then route to technical review.

Controls

Citations and grounding

Source grounding and reviewer discipline are described; version, licensing and audit details are not public.

Safe boundary

Review support only

Support search and explanation; do not decide compliance, approve design or replace engineering judgement.

Publicly verifiable

Direction, not certification

No accuracy rate, regulator approval, certification or independent audit result is claimed.

Review workflow

01 / Scope

Define applicability

Identify jurisdiction, edition, project context and the consequence of error.

02 / Retrieve

Find candidates

Narrow the question toward relevant standards material and clauses.

03 / Compare

Separate layers

Keep source facts, semantic differences and interpretation visibly distinct.

04 / Validate

Return judgement

Check citations and context before a qualified professional decides.

Controls and boundaries

Governance controls

Inspect the evidence trail

  • Keep source and clause references visible.
  • Verify edition, scope, definitions and project conditions.
  • Protect licensed content and retain an auditable review handoff.

Safe boundary

Prepare, do not certify

Suitable support includes retrieval, comparison and draft notes. This proof does not establish compliance, legal advice, regulator acceptance, design approval, incident findings or shutdown authority.

Public verification and lessons

What can be cited

The public portfolio describes retrieval and semantic-review support across GB, TB and HKRS requirements and links the direction to standards-aware AI implementation. The live configuration and application link are not presented here.

Lesson

Applicability beats retrieval speed. The right clause is not enough if the edition, scope or project condition is wrong.

Related official sources

Hong Kong Railway Standards

Official HKRS reference.

NIST AI Risk Management Framework

AI-risk governance context.

Official references provide context; they do not certify this reviewer or establish compliance.