Free SPECS professional workbook

AI-Assisted Grading Governance Test

Test whether an institution has retained meaningful human accountability before AI influences marks, feedback or progression-related decisions.

12 evidence-based governance testsStop and limited-pilot decision rulesAutomatic summary by governance domain

Designed forAcademic leaders, quality teams, assessment boards and responsible-AI governance groupsEditable Excel formatVerified-email access

About the tool

A practical working resource for evidence-led improvement.

A structured governance and assurance workbook for universities considering or reviewing AI-supported marking, grading, moderation or feedback. It tests academic authority, assessment validity, context-specific validation, fairness, data protection, meaningful human review, student rights, monitoring and change control before the institution reaches a deployment decision.

Inside the workbook

What the tool provides

The workbook combines structured questions, traceable evidence and accountable follow-through in one editable working format.

01Twelve grading-governance criteria
02Five maturity levels
03Five decision signals
04Evidence and reviewer-rationale fields
05Non-negotiable stop conditions
06Bounded-pilot rules
07Owned improvement and closure fields
08Automatic institutional disposition

Fictional worked example

See how the workbook works

The images below use fictional institutional information to demonstrate the workbook’s structure, evidence trail and management summary.

Fictional AI-assisted grading governance summary showing institutional decision signals by domain — 01
**Governance decision summary**
The summary keeps stop conditions, limited-pilot restrictions and unresolved actions visible to decision-makers.

AI-assisted grading governance test with evidence requirements, maturity ratings and decision signals — 02
**Twelve evidence-based tests**
Each judgement is linked to expected evidence, a reviewer rationale, an accountable action and closure evidence.

Illustrative use only. The examples do not represent a real institution, accreditation judgement or regulatory decision. Each workbook must be aligned to the applicable framework and reviewed using qualified human judgement.

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