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ACT-IAC White Paper: Artificial Intelligence Machine Learning Primer

 

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Abstract

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING PRIMER: Enabling AI/ML Innovation in the US Federal Government
Developed by: Artificial Intelligence Working Group, ACT-IAC Emerging Technology Community of Interest
Date Released: March 12, 2019

This primer serves as a foundational tool in the understanding of artificial intelligence and machine learning (AI/ML) technology and, through the use cases, reveal how they can be applied to benefit the federal government and improve the lives of American citizens.

AI/ML has the potential to help government agencies operate more effectively, save money, improve their information security, and improve the lives of American citizens. The potential derives from its ability to increase the value of the government’s information assets (by enabling more data to be analyzed more quickly and more robustly) and workforce (by providing government knowledge workers with enhanced analytic tools and assistants).  

The technology can advance insights from petabytes worth of structured and unstructured data by significantly accelerating the assessment, clarification, and synthesis of government data. The adoption of AI services may also allow government agencies to better improve their prediction of new mission trends and stakeholder needs to effectively deliver services to citizens and achieve agency objectives.

For non-members who would like a copy of this paper, contact Nancy Delanoche, Director for Communities of Interest.

Document Date: 
Mar 13, 2019
 
Author (organization): 
ACT-IAC Emerging Technology COI
 
Document type: 
ACT-IAC Report
 
Interests: 
Emerging Technology
 
Groups(s):