This resource is no longer available

As DARPA’s predicted “third wave” of AI approaches, public sector adoption remains one of the most prominent and logical use cases.

But public organizations face stricter ethical and accountability standards than private enterprises do, meaning that AI needs to be accountable and easily understood.

Enter explainable AI.

Read this white paper to learn how open-source software can form the cornerstone of an AI architecture that is transparent, easily understood, and cutting-edge—satisfying the public’s ethical concerns without sacrificing performance or scalability.

Vendor:

Red Hat

Posted:

Nov 15, 2021

Published:

May 11, 2021

Format:

PDF

Type:

White Paper