Vulnerabilities and challenges of integrating AI into future Air Force intelligence systems

Abstract

DoD and Air Force leaders have identified Artificial Intelligence (AI) as a game changing technology that will help the Air Force Intelligence, Surveillance, and Reconnaissance(ISR) enterprise overcome perennial challenges with speed and scale of intelligence analysis required for great power conflict. The Sensing Grid concept (recently renamed Sensor Integration) was introduced as a future framework to integrate AI and Cognitive Modeling tools for Air Force ISR, but there is little discussion about adversary threats and ethical considerations that should inform the design and functionality of the system. In order to prepare the human and organizational terrain within the Air Force to integrate a highly automated, AI-enabled intelligence analysis system, enterprise leaders must advocate for a human-centric design that takes lessons learned from historical human-machine teaming successes and failures. Leaders must also take a proactive approach to training the Air Force ISR workforce to team effectively with revolutionary but imperfect AI technology.

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Document Details

Document Type
Technical Report
Publication Date
Apr 20, 2020
Accession Number
AD1107503

Entities

People

  • Mariko Hart

Organizations

  • Air Command and Staff College

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Computer Languages
  • Computer Programs
  • Data Sets
  • Department Of Defense
  • Detectors
  • Engineering
  • Human-Machine Systems
  • Machine Learning
  • National Security
  • Natural Language Processing
  • Neural Networks
  • Psychology
  • Robotics
  • Test And Evaluation

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy