This report recommends guidelines for providers of any systems that use artificial intelligence. This content is aimed primarily at providers of AI systems who are using models hosted by an organization, or are using external application programming interfaces.
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Description
This report recommends guidelines for providers of any systems that use artificial intelligence. This content is aimed primarily at providers of AI systems who are using models hosted by an organization, or are using external application programming interfaces.
Physical Description
20 p.
Notes
Executive Summary: This document recommends guidelines for providers of any systems that use artificial intelligence (AI), whether those systems have been created from scratch or built on top of tools and services provided by others. Implementing these guidelines will help providers build AI systems that function as intended, are available when needed, and work without revealing sensitive data to unauthorized parties. This document is aimed primarily at providers of AI systems who are using models hosted by an organization, or are using external application programming interfaces (APIs). We urge all stakeholders (including data scientists, developers, managers, decision-makers and risk owners) to read these guidelines to help them make informed decisions about the design, development, deployment and operation of their AI systems.
This report is part of the following collection of related materials.
Artificial Intelligence (AI) Policy Collection
The Artificial Intelligence (AI) Policy Collection contains open access resources that provide policy overviews, implementation plans, guiding frameworks, and resources for implementing artificial intelligence and machine learning in a wide range of environments. This collection includes documents published by Federal agencies, non-governmental organizations, international, state, and local governments.
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(https://digital.library.unt.edu/ark:/67531/metadc2289516/:
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University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
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