Have Your Application Audited
45 / 46 •
Governance •
This practice was ranked as advanced.
Click to read more. •
This practice addresses requirements
from the EU guidelines for trustworthy ML.
Click to read more.
This practice was ranked as advanced. Click to read more. •
This practice addresses requirementsfrom the EU guidelines for trustworthy ML.
Click to read more.
Intent
Obtain an independent assessment of the strenghts and weaknesses of your application and engineering processes.
Motivation
Gain new insights into your machine learning application and build trust.
Applicability
Audits should be applied to any machine learning application.
Description
In order to gain new insights into your development life-cycle and compare with other applications and regulations, it is recommended to have your application audited by an external, independent and trustable actor. Sharing the outcomes of the audit and a strategy for solving the emergent issues can increase transparency and trust.
Adoption
Related
Read more
- Ethics Guidelines for Trustworthy AI
- Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
45 / 46 •
Governance •
This practice was ranked as advanced.
Click to read more. •
This practice addresses requirements
from the EU guidelines for trustworthy ML.
Click to read more.
This practice was ranked as advanced. Click to read more. •
This practice addresses requirementsfrom the EU guidelines for trustworthy ML.
Click to read more.