A Methodology for Screening Potential Artificial Intelligence Applications

Abstract

This paper presents a method to rapidly evaluate a large number of possible opportunities to apply artificial intelligence technology. The domain expert for a potential application is interviewed briefly (for 1-3 hours) by a knowledge-engineering team. During this interview, the expert is questioned on a carefully chosen set of topics to help quickly assess the level of AI risk, systems engineering risk, and potential payoff of building the application(s) identified during the session. After conducting a series of these interviews for an organization, a report is written summarizing the results, and prioritizing the potential applications for future assessment and prototyping.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1988
Accession Number
ADA203966

Entities

People

  • Eric N. Hanson

Organizations

  • Wright Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aeronautical Laboratories
  • Air Force
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Availability
  • Case Studies
  • Classification
  • Engineering
  • Expert Systems
  • Fuel Systems
  • Governments
  • Intelligent Systems
  • Knowledge Based Systems
  • Product Prototyping
  • Prototypes
  • Security
  • Systems Engineering

Readers

  • Economics
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Instructional Design and Training Evaluation.

Technology Areas

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