Page 22 - Artificial Intelligence for the Internet of Everything

Introduction 9

distinguished between whether an autonomous machine is a teammate
(partner) or a tool. Further research on this question appears to offer an
important research direction.
10
Chapter 7 was written by Michael Wollowski and John McDonald.
Wollowski is an Associate Professor of Computer Science and Software
Engineering at the Rose-Hulman Institute of Technology in Terre Haute,
IN; and McDonald is the Chief Executive Officer of ClearObject in Fishers,
IN. Their chapter is titled, “The Web of Smart Entities–Aspects of a Theory
of the Next Generation of the Internet of Things.” The authors illustrate
their ideas about the accelerating growth of the IoT by using a future sce-
nario with IoT and health care for human patrons. They provide this
scenario to develop their theory of a broad web of smart software entities
that are able to manage and regulate the routine and complex health-care
behavior of their human participants (e.g., the timing and coordination of
exercise, diet, healthy eating habits, etc.). In their view, the web of smart
entities is informed by the collection of data, whether the data collected
is from sensors, data manually entered, or data gathered from other smart
entities. Based on this trove of data, which has to be curated, in turn, smart
entities build models that capture routine (health) behavior to enable them,
when authorized, to automatically act based on the results from the analyses
of the data collected (e.g., monitoring a diabetic; in Gia et al., 2017).
Although IoT is bringing about rapid change, much remains to be done,
not only for the analytics associated with the data collected, but also with
the privacy concerns raised both by these data and by their analyses (e.g.,
Datta, Aphorpe, & Feamster, 2018). The authors describe the likely effects
of the as yet–unforeseen hyper-automation, but when it comes, they pro-
vide a description of several ways in which humans and machines can inter-
act to control the resulting automation. The authors have provided a useful
model with illustrations of IoT that allows them and the reader to be able to
better view the fullest range of operations with IoT from automatic to fully
autonomous. The authors provide a broad sketch of a fully connected IoT
that will dramatically change life in ways not only already anticipated, but
also not yet expected or foreseen.
Chapter 8, “Parenting AI,” was written by Alec Shuldiner, 11 an IoT
researcher working in the San Francisco Bay Area at Autodesk, Inc. In
Shuldiner’s view, AI systems are rapidly growing more sophisticated, largely

10
Corresponding author: wollowski@rose-hulman.edu.
11
Corresponding author: alec.shuldiner@autodesk.com.