Human data collection for machine learning and artificial intelligence aid development for multi-domain operations

Abstract

This presentation will describe the Combat Capabilities Development Command (DEVCOM) Armament Center’s research on human behavior for machine learning and development of artificial intelligence aids. Human data collection for the development of artificial intelligence aid development can be roughly categorized into three categories. The first can be described as collection of human behavioral data in order to base artificial intelligence on natural intelligence. The second is the work in turning artificial intelligence into artificial intelligence aids, with a focus on the examination of the interaction between human and artificial intelligence aid. The third is research examining validation—confirming that the artificial intelligence aid actual aids the natural intelligence. For the past few years the DEVCOM Armament Center’s Tactical Behavior Research Laboratory has engaged in research efforts aimed at generating human data sets for machine learning analyses while conducting testing, evaluation and validation of notional artificial aids. Several efforts across the three categories will be described. These include human data gathering efforts for a targeting prioritization, human threat identification in an urban environment, and electrophysiological interfaces. The data from these efforts are inputted into appropriate machine learning methodologies from which algorithms underlying artificial intelligence aids may be derived. Specialized facilities (the Experimental Verification and Validation Assessment Lab) for gathering these data will be described. Finally, the presentation will include an overview of the lab’s processes and pipelines from its initial data gathering and algorithm development to its testing and evaluation and ultimately, to its verification and validation of artificial intelligence aids.