Challenges in Implementing AI for Compliance

The challenges in implementing AI for compliance are less about the technology than about what surrounds it.

Data quality. A register with inconsistent categories and half-completed entries produces analysis that looks authoritative and is not. The tool will not tell you the underlying data was poor.

Explainability. If you cannot say why an output was produced, you cannot defend a decision built on it, and compliance decisions get questioned.

Privacy. Incident reports, complaints and personnel files contain sensitive personal information. Putting them through a third-party tool is a disclosure, and it needs assessing as one.

Drift. Nobody goes back and re-checks a tool that appeared to work well enough six months ago, so a slow decline in quality passes unnoticed.

The Office of the Australian Information Commissioner publishes the Australian Privacy Principles. This is general information rather than legal advice, and obligations vary by state and territory.

See Sentrient’s privacy training course and AI awareness course.