Principle 6 – Transparency & Explainability
The degree to which the system is traceable, auditable, transparent, and explainable is dependent on the context and purpose of the AI system and the severity of the outcomes that may result from the technology.
· Build and Validate:
This enables the identification of the AI decision and its respective analysis which facilitates its auditability as well as its explainability.
Plan and Design:
2 Organizations can put in place additional instruments such as impact assessments, risk mitigation frameworks, audit and due diligence mechanisms, redress, and disaster recovery plans.
· Prepare Input Data:
3 The documentation of the process is necessary for auditing and risk mitigation.