Understand what “Auditable AI” is about and why it is relevant to improving the adoption of ML algorithms/AI products in the healthcare sector

Get the essential idea of the questions contained in the three main categories of the ML Auditing Core Criteria Catalog: “Conceptual Basics”, “Data & Algorithm Design” and “Assessment Metrics.”

Raise awareness to consider aspects covered in the catalog as early as possible in ML development or implementation projects

Understand which subcategories are more likely to be covered during ML development projects and which subcategories are most likely only covered during implementation projects

Note that practical tests of the catalog on existing ML projects might further improve it and lead to specialization per application area, as well as to prepare for any potential future, legally mandated audits