  This paper documents an exploratory pilot study to define the term Autonomous
Entity, and any characteristics that are required to identify or classify an
Autonomous Entity. Our solution builds on previous work with regard to
philosophical and scientific classification methods but focuses on a novel
Design Science Research Methodology (DSRM) and model to help identify those
characteristics which make any autonomous entity similar or different from
others. We have solved the problem of not having an existing term to define our
lens by creating a new combinatorial term: "Riskyishness". We present a DSRM
and instrument for initial investigation, as well as observational and
statistical descriptions of their use in the real world to solicit domain
expertise and statistical evidence. Further, we demonstrate a specific
application of the methodology by creating a second artifact - a tool to score
existing and future technologies based on Riskyishness. The first artifact also
provides a technique to disentangle miscellaneous existing technologies or add
dimensions to the tools to capture future additions and paradigm shifts.
