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Will your next doctor be a human being-or a machine? Will you have
a choice? If you do, what should you know before making it?This
book introduces the reader to the pitfalls and promises of
artificial intelligence (AI) in its modern incarnation and the
growing trend of systems to "reach off the Web" into the real
world. The convergence of AI, social networking, and modern
computing is creating an historic inflection point in the
partnership between human beings and machines with potentially
profound impacts on the future not only of computing but of our
world and species.AI experts and researchers James
Hendler-co-originator of the Semantic Web (Web 3.0)-and Alice
Mulvehill-developer of AI-based operational systems for DARPA, the
Air Force, and NASA-explore the social implications of AI systems
in the context of a close examination of the technologies that make
them possible. The authors critically evaluate the utopian claims
and dystopian counterclaims of AI prognosticators. Social Machines:
The Coming Collision of Artificial Intelligence, Social Networking,
and Humanity is your richly illustrated field guide to the future
of your machine-mediated relationships with other human beings and
with increasingly intelligent machines. What Readers Will Learn
What the concept of a social machine is and how the activities of
non-programmers are contributing to machine intelligence How modern
artificial intelligence technologies, such as Watson, are evolving
and how they process knowledge from both carefully produced
information (such as Wikipedia and journal articles) and from big
data collections The fundamentals of neuromorphic computing,
knowledge graph search, and linked data, as well as the basic
technology concepts that underlie networking applications such as
Facebook and Twitter How the change in attitudes towards
cooperative work on the Web, especially in the younger demographic,
is critical to the future of Web applications Who This Book Is
ForGeneral readers and technically engaged developers,
entrepreneurs, and technologists interested in the threats and
promises of the accelerating convergence of artificial intelligence
with social networks and mobile web technologies.
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