Access in AI and Human-Machine Symbiosis

Abstract

Studies conducted under this thrust aim to advance core artificial intelligence (AI), human-machine symbiosis (HMS), and machine learning (ML) technologies that ensure physical or virtual presence where and when necessary to provide knowledge and/or achieve desired effects. Primary considerations include the safety, trustworthiness, and security of AI/HMS/ML as an adjunct to human operators and analysts. The potential for AI/HMS/ML systems to leak sensitive/classified training data is of concern, particularly for large language models and large pre-trained models (LPTMs). Another focus involves the human-AI interaction, including techniques to ensure that the human correctly understands the output from the AI/HMS/ML system. This thrust addresses the current limitations of AI/HMS/ML-based technologies to enable implementation in mission-critical information systems suitable for military use.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2025
Source ID
29252ff2ce0c8e05b7eed8473dde3a41

Tags

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Neural Network Machine Learning.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks

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