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Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
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D

Acronyms and Abbreviations

AAIT Autonomy and Artificial Intelligence Test
ABMS Advanced Battle Management System
ACC Air Combat Command
ACE Air Combat Evolution
ADAX Autonomy, Data, and AI Experimentation
AEDC Arnold Engineering Development Complex
AEIS Artificial Intelligence Enabled Systems
AF DCGS Air Force Distributed Common Ground Station
AFB Air Force Base
AFIT Air Force Institute of Technology
AFLCMC Air Force Life Cycle Management Center
AFMC Air Force Materiel Command
AFOTEC Air Force Operational Test and Evaluation Center
AFPC Air Force Personnel Center
AFRL Air Force Research Laboratory
AFSC Air Force Specialty Code
AFTC Air Force Test Center
AI artificial intelligence
AI4NSL Artificial Intelligence for National Security Leaders
AIA AI Accelerator
AICI Artificial Intelligence Criticality Indicator
AIOps Artificial Intelligence for IT Operations
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
API Application Programming Interface
APIGEE Automated Pipeline for Imagery Geospatial Enhancement and Enrichment
ASIL Automotive Safety Integrity Level
ATR automatic target recognition
AWCFT Algorithmic Warfare Cross-Functional Team
AWS Amazon Web Services
BPA bulk purchase agreement
C2 Command and Control
C2BMC Command, Control, Battle Management, Communications
C4I Command, Control, Communications, Computers, and Intelligence
C4ISR Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance
CAC common access card
CBA capabilities-based analysis
CCA Collaborative Combat Aircraft
CCF common cause failure
CDAO Chief Digital and AI Office (OSD); Chief Data and AI Office (DAF)
CDC Capability Development Council
CET continuing education and training
CEU continuing education unit
CI/CD continuous integration/continuous delivery
CIP critical intelligence parameter
CLSA Computer Language Self-Assessment
CMCC Common Mission Control Center
CNN Convolutional Neural Network
CoI community of interest
CONOPS concept of operations
CR certifiable robustness
CSAF Chief of Staff of the Air Force
CTP critical technical parameter
CV computer vision
CXO chief experience officer
DAF Department of Air Force
DARPA Defense Advanced Research Projects Agency
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
DASD(DT&E) Deputy Assistant Secretary of Defense for Developmental Test and Evaluation
DAU Defense Acquisition University
DDB Dynamic Database
DevOps development operations
DevSecOps development, security, and operations
DGS Defense Geospatial Services
DIE Defense Intelligence Enterprise
DL deep learning
DMP data management pipeline
DNN deep neural networks
DoD Department of Defense
DOT&E Director of Operational Test and Evaluation
DOTmLPF-P Doctrine, Organization, Training, materiel, Leadership, Personnel, Facilities, Policy
DRL deep reinforcement learning
DT developmental test
DT&E developmental test and evaluation
DTO Digital Transformation Office
ELINT electronic intelligence
EO electro-optical
EOB Electronic Order of Battle
EW electronic warfare
EWIR electronic warfare integrated reprogramming
FAA Federal Aviation Administration
FERET Face Recognition Technology
FFRDC federally funded research and development center
FM foundation model
FMV full-motion video
FOC fully operational capability
FOT&E follow-on operational T&E
FPGA field programmable gate array
GAO Government Accountability Office
GeoINT geospatial intelligence
GOTS government off-the-shelf
GPU graphics processing unit
GSWR Global Synthetic Weather Radar
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
HAI human-AI
HARA Hazard and Risk Assessment
HMC human-machine cognitive collaboration
HMT human-machine team
HRL human readiness level
HSI human-systems integration
HW hardware
IDA Institute for Defense Analyses
IEC International Electrotechnical Commission
ILSVRC ImageNet Large Scale Visual Recognition Challenge
IML informed machine learning
IOC initial operating capability
IOT&E initial operational test and evaluation
IP intellectual property
IR infrared
ISO International Organization for Standardization
ISR intelligence, surveillance, and reconnaissance
IT information technology
JAIC Joint Artificial Intelligence Center
JATIC Joint Artificial Intelligence Test Infrastructure Capability
JCIDS Joint Capabilities Integration and Development System
JEON joint emergent operational need
JHU APL Johns Hopkins University Applied Physics Laboratory
JROC Joint Requirements Oversight Council
JSE joint simulation environment
JUON joint urgent operational need
KPI key performance indicator
KPP key performance parameter
KSA key system attribute
LAWS lethal autonomous weapon system
LFT&E live-fire test and evaluation
LL Lincoln Laboratory
LLM large language model
LOR level of rigor
LSTM long-short-time memory
LVC live-virtual-constructive
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
M&S modeling and simulation
MAGE Machine Assisted GeoINT Exploitation
MAIS major automated information system
MDA Missile Defense Agency
MDAP major defense acquisition program
MIT Massachusetts Institute of Technology
ML machine learning
MLOps machine learning operations
MRTFB Major Range and Test Facility Base
MSTAR Moving and Stationary Target Acquisition and Recognition
MTA middle tier of acquisition
MVP minimal viable product
NAIIO National AI Initiative Office
NAITIC National Artificial Intelligence Test and Evaluation Infrastructure Capability
NDAA National Defense Authorization Act
NeRF neural radiance field
NFS NextGen Federal Systems
NGAD next generation air dominance
NIST National Institute of Standards and Technology
NLP natural language processing
NPS Naval Postgraduate School
NR-KPP net ready key performance parameter
NSCAI National Security Commission on AI
O&M operations and maintenance
OCR operational change request
ODD operational design domain
ODNI Office of the Director of National Intelligence
OFP-CTF Operational Flight Program-Combined Test Force
OOD out-of-distribution
OSD Office of the Secretary of Defense
OT operational test
OT&E operational test and evaluation
OTA Operational Test Agency
OUSD(R&E) Office of the Under Secretary of Defense (Research and Engineering)
PaaS platform-as-a-service
PED processing, exploitation, and dissemination
PEO program executive officer
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
PII personally identifiable information
PMO Program Management Office
QU quantifiable uncertainty
R&D research and development
R&E research and engineering
RADIUS Research and Development for Image Understanding Systems
RAI responsible AI
RAIDEN Robust AI Development Environment
RDT&E research, development, test, and evaluation
RFI request for information
RFP request for proposal
RL reinforcement learning
RLHF reinforcement learning with human feedback
RMF Risk Management Framework
RNN recurrent neural network
SAR synthetic aperture radar
SCSP Special Competitive Studies Project
SDN software-defined networking
SDPE strategic development planning and experimentation
SEI special experience identifier
SME subject-matter expert
SPO system program office
SWAP size, weight, and power
T&E test and evaluation
TEMP T&E Master Plan
TEVV Test, Evaluation, Verification, and Validation
TL transfer learning
TPS Test Pilot School
TQD training-quality data
TRL technology readiness level
TRMC Test Resource Management Center
TW Test Wing
UARC University-Affiliated Research Center
UAS unmanned aerial system
UGV uncrewed ground vehicle
UI/UX user interface/user experience
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
UON urgent operational need
USAFWC United States Air Force Warfare Center
USC University of Southern California
USDI Under Secretary for Defense for Intelligence
V&V verification and validation
VENOM Viper Experimentation and Next-Gen Operations Model
VISTA Variable In-Flight Simulator Aircraft
VOC Visual Object Classes
VTTC Virtual Test and Training Center
ZT zero trust
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
Page 156
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
Page 157
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
Page 158
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
Page 159
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
Page 160
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
Page 161
Suggested Citation:"Appendix D: Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
×
Page 162
Next: Appendix E: Testing, Evaluating, and Assessing Artificial IntelligenceEnabled Systems Under Operational Conditions for the Department of the Air Force: Proceedings of a Workshop - in Brief »
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 Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force
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The Department of the Air Force (DAF) is in the early stages of incorporating modern artificial intelligence (AI) technologies into its systems and operations. The integration of AI-enabled capabilities across the DAF will accelerate over the next few years.

At the request of DAF Air and Space Forces, this report examines the Air Force Test Center technical capabilities and capacity to conduct rigorous and objective tests, evaluations, and assessments of AI-enabled systems under operational conditions and against realistic threats. This report explores both the opportunities and challenges inherent in integrating AI at speed and at scale across the DAF.

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