This Instruction identifies enterprise data management guidelines for leveraging data as a strategic asset to meet United States Air Force and United States Space Force mission requirements. It also establishes the Department of the Air Force policy to achieve enterprise-wide data visibility and accessibility, and establishes standards for data sharing.
This memorandum was prepared in advance of publication of DAFI 90-7001 to describe the importance and necessity to make data discoverable and shared across the enterprise. It establishes precedent for making an inventory of data assets in the DAF Enterprise Data Catalog on the VAULT Platform. The memo also eliminates the requirement for support agreements to exchange data between DAF organizations.
This publication implements the Chief Data Officer’s responsibilities in Section 3520 of Public Law 115-435, Title II. Additionally, this publication establishes the overarching policy responsibility for Enterprise Data Mangement for the DAF.
The use of approved terminology within and external to the Intelligence Community (IC) is fundamental to improving discovery of, access to, and responsible use of our valuable data and information across the IC Information Environment. The IC Data Management Lexicon (IC DML) establishes definitions for over 100 common data management terms in the IC to ensure common understanding and consistent use of this terminology.
This document is a guide and record of the development for the NIST (National Institute of Standards and Technology) glossary of terms for trustworthy and responsible artifcial intelligence (AI) and machine learning (ML). The glossary effort seeks to promote a shared understanding and improved communication among individuals and organizations seeking to operationalize trustworthy and responsible AI through approaches such as the NIST AI Risk Management Framework (AI RMF).
This memorandum provides guidance regarding the usage of Platform One to DAF military and civilian members.
This memorandum provides guidance regarding the Department of the Air Force data exchange and security policies to Small Businesses.
This guidebook provides a basic understanding of the AI acquisition lifecycle with respect to data, finance, contracting, testing, and legal considerations. It aims to provide deliberate and digestible information to help program managers navigate the various stages of the AI lifecycle. Additionally, this guidebook offers resources and points of contact that may be helpful for local projects.
This document provides strategies for Prompt Engineering, which is the skill of crafting instructions for LLMs that maximize the chance of a high quality, relevant response. It is intended for Dept. of the Air Force (DAF) members who use LLMs for non-combat workflow optimization and is not intended to support real time decision making in military operations.
An essay authored by Lt Col Joseph Chapa where he evaluates the relationship between uncertainty imposed by modern applications of artificial intelligence and the jus in bello just war proportionality principle.
This guide presents an overview of machine learning operations (MLOps), a process by which machine learning (ML) algorithms are developed and deployed into a production environment. This guide contains information regarding how to access and use three DAF platforms as well as strengths and limitations of each platform with respect to MLOps. The advice found in this guide is not intended to be prescriptive; it is instead provided to aid users within the DAF in observing best MLOps practices.
This memorandum provides information about educational resources on Generative AI available to the DAF military and civilian workforce.
This one-pager provides information about the Department of the Air Force Artificial Intelligence Division (SAF/CNDI), including Initiatives, Priorities, and POCs.