Advanced · Self-paced learning
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Use an audit file to examine whether an AI-supported purchasing recommendation received the required human review before use. One transaction lacks a review record; another contains a record that conflicts with the recommendation. Trace the data source, recommendation and record, and establish what the evidence supports and which questions remain open.
For your own application or the course case, define the audit assignment, write audit questions and identify suitable evidence. Produce an audit work programme and a written case assessment. The assignment and assessment still need agreement with the responsible audit leads before operational use.
A tool is planned for the course to record criteria, evidence and findings and produce your audit file and report. Keep the completed data for future audits.
Your audit programme contains criteria and questions for an AI application. Keep the assessed case file with a supported finding and outstanding evidence questions.
Experience of management system audits against a recognised standard and access to the rules and process documents of a specific AI application. Where that access is missing, you work on an audit case provided in the course with comparable data.
Planned self-study course of 6–8 hours, organised in short units with templates and one annotated example. You assess evidence and draft a finding for your own case or the course case; observed audit practice is not part of the format.
Planned learning time: 6–8 hours
