Beyond AI Detection: The Integrity Debt Audit

If a machine can pass your assessment, the failure lies in the curriculum design, not the student’s character.

The Integrity Debt Audit is not AI detection software designed to catch students. It is a diagnostic tool for Higher Education professionals to evaluate the resilience of their own curriculum.

Detection is unreliable and punishment creates a culture of fear. This audit places the responsibility back on us as educators to identify where our assessments are vulnerable to being hacked.

We call this risk Integrity Debt: the systemic failure caused by rewarding final products instead of the human process of learning. This tool moves you from surveillance to dialogue. It treats education as a conversation between educator and student rather than a race to catch AI usage.

Inside, you will find a 10-point framework to reclaim your curriculum. It offers clear ways to prioritise human effort through intentional friction, such as reflective writing and sequential tasks. These strategies ensure that human judgement remains the primary value of your degree.

It includes an adaptable syllabus clause to open a dialogue with your students, a printable scorecard for your next module review, and a link to a digital diagnostic tool for institutional benchmarking.

I'm Sam Illingworth, a Professor of Creative Pedagogies based in Edinburgh, UK. Through Slow AI, I help academics move away from the panic of automation and towards intentional, human-centred teaching.

This audit provides the tools to ensure your assessments are resilient, authentic, and worth the labour of both you and your students.

Pay what you can. Suggested price £12.

Download for free or support the ongoing work of Slow AI if you are able.

Highlights

• A 10-point diagnostic framework to measure your Integrity Debt.
• Practical ways to make assessments harder to hack.
• Link to a digital tool and a printable scorecard.
• Downloadable PDF and ePub versions.