AI Procurement: Explainability Best Practices
Citation:
Work data:
Type of work: Handbook/Primer/Guide
Categories:
e-Government & e-Administration | ICT InfrastructureTags:
artificial intelligenceAbstract:
Explainability instills trust. When done well, the magic of explainable AI (XAI) will lead to a trusted system. This means providing an understanding of the system by being transparent about the system itself and how it was developed with respect to decisions towards fairness, reliability, and accountability.
Explainability isn't just for end users. This is a very narrow definition of explainability that we've held to for too long. Yes, it is an important narrow definition. However, when we look at the broader landscape of an AI system, there are many more stakeholders that require explainability.
This reference guide broadens the view of explainability and offers critical insights into key XAI considerations during procurement and when contracting with AI providers.
Downloads:
Miller, C.L. & Waters, G. (2023). AI Procurement: Explainability Best Practices. Lewes: Center for Inclusive Change.
