Spoken (by a human) version of this article.

AI and algorithm audits help ensure ethical and accurate data processing, preventing harm and disadvantage.

However, the guidelines are not yet mature, and quite disparate.

This can make the audit process confusing, and quite daunting - how do you wade through it all to find the information that you need, in deciding how to commission your audit?

Fortunately, there is a solution - narrowing the guidelines down, based on relevance.

Not all existing guidelines are universally applicable. This can vary based on your situation, including:

1. The specific context of your industry
2. The nature of your deployment
3. The characteristics of the system being audited
4. Whether the audit is internal or external
5. Who produces the guidance and for whom it is intended

This article will help you distinguish between audit guidance that applies to your situation and guidance that may not be relevant to your industry, deployment, or organizational needs.

https://riskinsights.com.au/blog/audit-guidance-context-matters

About this podcast

A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.

Hosted by Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).