Robots and Rogue Thinkers: Leveraging Organizational Learning Theory to Prevent Catastrophic Failure After Rapid Fielding of Disruptive Technology

Abstract

This research examines the intersection of future AI-infused machine-learning systems and human adaption through an organizational learning lens to identify conceptual lessons and key actionable issues for senior Service, Joint Staff, and Department of Defense leaders in order to prevent catastrophic failure following rapid technological fielding in the future. The study uses contextual-phenomenon analysis of historic responses when innovative and disruptive technology is fielded rapidly to warfighters and assesses results through an organizational learning and change management lens. The application of multi-looping organizational learning theory demonstrates parallels with the elegant simplicity of John Boyd's OODA loop model that emphasizes agility and innovation through faster situational awareness and feedback. It provides a pragmatic methodology to fill a gap between formal training and formal education with self-directed learning and a collective training crucible to improve organizational warfighter mental agility .While two conceptual next-step intervention solutions are presented to preempt future disruption as the military looks towards the rapid fielding of AI-infused weapon systems, the research may be applied to prevent organizational failure from an inability to learn, anticipate, or adapt during any disruptive or catastrophic event.

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Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2020
Accession Number
AD1100276

Entities

People

  • James A. Malachowski

Organizations

  • Naval War College

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Cyber
  • Ground and Sea Platforms
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Autonomous Weapons
  • Computers
  • Disruptive Technology
  • Doctrine
  • Lessons Learned
  • Machine Learning
  • Military Science
  • National Security
  • Navy
  • Organizational Structure
  • Psychology
  • Second World War
  • Students
  • War Colleges
  • Warfare

Readers

  • Neural Network Machine Learning.
  • Organizational Process Management (OPM).
  • Systems Analysis and Design

Technology Areas

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