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Using Open Source To Support Explainable Ai In The Public Sector

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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:
Aug 16, 2021
Published:
May 11, 2021
Format:
PDF
Type:
White Paper

This resource is no longer available.