  The rapid integration of artificial intelligence across traditional research
domains has generated an amalgamation of nomenclature. As cross-discipline
teams work together on complex machine learning challenges, finding a consensus
of basic definitions in the literature is a more fundamental problem. As a step
in the Delphi process to define issues with trust and barriers to the adoption
of autonomous systems, our study first collected and ranked the top concerns
from a panel of international experts from the fields of engineering, computer
science, medicine, aerospace, and defence, with experience working with
artificial intelligence. This document presents a summary of the literature
definitions for nomenclature derived from expert feedback.
