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Autonomy and Artificial Intelligence: A Threat or Savior? (Hardcover, 1st ed. 2017)
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Autonomy and Artificial Intelligence: A Threat or Savior? (Hardcover, 1st ed. 2017)
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This book explores how Artificial Intelligence (AI), by leading to
an increase in the autonomy of machines and robots, is offering
opportunities for an expanded but uncertain impact on society by
humans, machines, and robots. To help readers better understand the
relationships between AI, autonomy, humans and machines that will
help society reduce human errors in the use of advanced
technologies (e.g., airplanes, trains, cars), this edited volume
presents a wide selection of the underlying theories, computational
models, experimental methods, and field applications. While other
literature deals with these topics individually, this book unifies
the fields of autonomy and AI, framing them in the broader context
of effective integration for human-autonomous machine and robotic
systems. The contributions, written by world-class researchers and
scientists, elaborate on key research topics at the heart of
effective human-machine-robot-systems integration. These topics
include, for example, computational support for intelligence
analyses; the challenge of verifying today's and future autonomous
systems; comparisons between today's machines and autism;
implications of human information interaction on artificial
intelligence and errors; systems that reason; the autonomy of
machines, robots, buildings; and hybrid teams, where hybrid
reflects arbitrary combinations of humans, machines and robots. The
contributors span the field of autonomous systems research, ranging
from industry and academia to government. Given the broad diversity
of the research in this book, the editors strove to thoroughly
examine the challenges and trends of systems that implement and
exhibit AI; the social implications of present and future systems
made autonomous with AI; systems with AI seeking to develop trusted
relationships among humans, machines, and robots; and the effective
human systems integration that must result for trust in these new
systems and their applications to increase and to be sustained.
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