This book offers a unique interdisciplinary perspective on the
ethics of 'artificial intelligence' - autonomous, intelligent, (and
connected) systems, or AISs, applying principles of social
cognition to understand the social and ethical issues associated
with the creation, adoption, and implementation of AISs. As humans
become entangled in sociotechnical systems defined by human and
artificial agents, there is a pressing need to understand how trust
is created, used, and abused. Compounding the difficulty in
answering these questions, stakeholders directly or indirectly
affected by these systems differ in their motivations,
understanding, and values. This volume provides a comprehensive
resource to help stakeholders understand ethical issues of
designing and implementing AISs using an ethical sensemaking
approach. Starting with the general technical affordances of AIS,
Dr. Jordan Richard Schoenherr considers the features of system
design relating data integrity, selection and interpretation of
algorithms, and the evolution processes that drive AISs innovation
as a sociotechnological system. The poles of technophobia
(algorithmic aversion) and technophilia (algorithmic preference) in
the public perception of AISs are then described and considered
against existing evidence, including issues ranging from the
displacement and re-education needs of the human workforce, the
impact of use of technology on interpersonal accord, and
surveillance and cybersecurity. Ethical frameworks that provide
tools for evaluating the values and outcomes of AISs are then
reviewed, and how they can be aligned with ethical sensemaking
processes identified by psychological science is explored. Finally,
these disparate threads are brought together in a design framework.
Also including sections on policies and guideline, gaming and
social media, and Eastern philosophical frameworks, this is
fascinating reading for students and academics in psychology,
computer science, philosophy, and related areas, as well as
professionals such as policy makers and those working with AI
systems.
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