AAC AI+QA Institute

Responsible Use of AI in Higher Education Quality Assurance

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A practical, live professional-development course for representatives of AAC member institutions and AAC QA experts.

Learn where AI can support quality assurance work, where human judgment must remain protected, and how to preserve evidence integrity, confidentiality, transparency and accountability.

Registration is open for the next cohort on 19–22 October 2026. Free for active AAC AI+QA Institute members, with AAC QA experts invited through the Expert Development Access program.

The course runs every month during the third week, with 15 participants per cohort. Places are allocated on a first-come, first-served basis. Eligible registrants who cannot join the next cohort will receive priority invitations to the following course.

Why this course now

AI is already being used in quality assurance. The harder question is where it should stop.

AI can help organize evidence, navigate documents, draft questions, identify patterns and support reporting. But it can also introduce unsupported claims, confidentiality risks, hidden automation and inappropriate delegation of professional judgment. This course gives institutions and reviewers a practical framework for using AI while protecting the integrity of quality assurance.

Two role-specific pathways

One course. Shared principles. Two professional pathways.

University / QA Teams

For university leaders, QA offices, academic managers and institutional staff.

Focus: AI-assisted self-evaluation, internal QA, academic integrity, assessment, vendor controls, risk management and governance.

View your route

Experts / Reviewers

For external reviewers, accreditation experts and panel chairs.

Focus: evidence navigation, question drafting, report support, prompt controls, AI-use declarations and review accountability.

View your route
Learning outcomes

What you will learn

  1. Distinguish legitimate AI support from inappropriate automation.
  2. Protect non-delegable human judgment and decision-making.
  3. Verify AI-supported outputs against primary evidence and identify hallucination or unsupported inference.
  4. Apply confidentiality, data-protection and approved-tool rules.
  5. Document material AI use and maintain auditability.
  6. Apply responsible-AI principles to either institutional QA or external review practice.
How the course works

From shared principles to professional practice

Total learner workload — approximately 8 hours, including live sessions, applied learning and assessment.

  1. 01

    Common Core

    Five modules on governance, accountability, evidence, confidentiality and auditability.

  2. 02

    Role Track

    Choose University / QA Teams or Experts / Reviewers.

  3. 03

    Applied cases & assessment

    12 practical cases based on higher-education QA scenarios. A case-based final assessment rather than recall-only.

  4. 04

    Certificate of Completion

    Issued after successful completion and assessment.

Practical toolkit

Tools to support your work

Participants receive practical implementation resources, including:

  • AI Use Decision Guide
  • Evidence Verification Checklist
  • AI Use Record
  • Expert AI-Use Declaration
  • Prompt Boundary Guide
  • Institutional AI Risk Register
  • Approved Tool / Vendor Checklist
  • Institutional AI Governance Checklist
Access and eligibility

Priority access

Registration is open to active AAC AI+QA Institute members, with invited AAC experts participating through a separate professional-development pathway in responsible AI use in accreditation and education quality.

Active AAC AI+QA Institute members

course access is included at no additional charge.

Invited AAC experts

complimentary Expert Development Access may be provided separately from membership.

Other higher education professionals

may register interest for future access.

Before you join

Recommended prerequisites

  • Basic familiarity with higher education quality assurance, academic management, accreditation, or external review.
  • A laptop or desktop computer for live sessions and exercises.
  • Access to at least one mainstream generative AI service capable of working with text prompts and documents.
  • A paid subscription is recommended, but not required; a free plan is acceptable if it supports the exercises.
  • Ability to join live online sessions with stable internet, camera and microphone.
  • No coding or technical AI background is required.

Participants are encouraged to use the AI platform they already work with professionally. AAC does not require or endorse a specific commercial AI provider.

Professional development

Certificate of Completion

Participants who complete the required modules and successfully pass the assessment receive an AAC AI+QA Institute Certificate of Completion and independent expert status in the responsible use of AI in higher education quality assurance.

AAC AI+QA Institute course Certificate of Completion — example
Frequently asked questions

Before you register

Is the course free?

Yes for active AAC AI+QA Institute members. Invited AAC experts may also receive complimentary Expert Development Access.

Do I need to be an AAC member?

Not necessarily. Members receive the course as a membership benefit. AAC experts may be invited through a separate expert-development route. Other professionals may register interest for future access.

What is the duration?

Approximately 8 hours of learner workload, including the Common Core, one role-specific track and the final assessment.

Is the course live or self-paced?

The course is primarily delivered live by AAC leaders and leading experts, creating opportunities to exchange experience and discuss current issues in AI, accreditation and quality in higher education. A self-paced version will be developed over time.

What certificate will I receive?

Successful participants receive a Certificate of Completion confirming professional development training and independent expert status in the responsible use of AI in higher education quality assurance.

How are places allocated?

The course runs every month during the third week, with 15 participants per cohort. Places are allocated on a first-come, first-served basis. Eligible registrants who cannot join the next cohort will receive priority invitations to the following course.

When will the course take place?

The course runs every month during the third week. The next live course will take place from 19 to 22 October 2026, with four 45-minute sessions. AAC will contact registrants with participation details.

Priority registration

Register Your Interest

Registration is open for the next cohort on 19–22 October 2026. Free for active AAC AI+QA Institute members, with AAC QA experts invited through the Expert Development Access program.

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