AI Engineering for Defense and National Security: A Report from the October 2019 Community of Interest Workshop

Abstract

Artificial Intelligence Holds Great Promise for Defense and National Security, and in many cases AI systems are already being developed and deployed. However, these systems are difficult to specify, build, replicate, verify, validate, and monitor. Whereas fields such as civil, mechanical, electrical, and traditional software engineering have established disciplines for creating safe and reliable structures, machines, programs, and systems, there is not yet an engineering discipline for AI. Without an AI Engineering discipline, we face a chaotic landscape far from the DoDs vision of safe, ethical, and secure uses and applications of AI.

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Document Details

Document Type
Technical Report
Publication Date
Oct 28, 2020
Accession Number
AD1113734

Entities

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Cyber

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Best Practices
  • Commerce
  • Deep Learning
  • Department Of Defense
  • Deployment
  • Education
  • Emerging Technology
  • Engineering
  • Environment
  • Failure Mode And Effect Analysis
  • Governments
  • Guarantees
  • Learning
  • Machine Learning
  • Materials
  • National Security
  • Neural Networks
  • Security
  • Software Development
  • Systems Engineering
  • Technical Debt
  • Training
  • United States
  • Universities

Fields of Study

  • Computer science
  • Engineering

Readers

  • Academic Conference Management
  • Distributed Systems and Data Platform Development
  • Emergency Management and Homeland Security.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy