AI and Society (online) (2021)

Authors
Nello Cristianini
University of Bristol (PhD)
Teresa Scantamburlo
University of Venice
James Ladyman
University of Bristol
Abstract
Social machines are systems formed by material and human elements interacting in a structured way. The use of digital platforms as mediators allows large numbers of humans to participate in such machines, which have interconnected AI and human components operating as a single system capable of highly sophisticated behavior. Under certain conditions, such systems can be understood as autonomous goal-driven agents. Many popular online platforms can be regarded as instances of this class of agent. We argue that autonomous social machines provide a new paradigm for the design of intelligent systems, marking a new phase in AI. After describing the characteristics of goal-driven social machines, we discuss the consequences of their adoption, for the practice of artificial intelligence as well as for its regulation.
Keywords Intelligent agents  Social machines  artificial intelligence  Human–computer interaction  Cybernetics  Autonomous agents  Teleology
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DOI 10.1007/s00146-021-01289-8
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References found in this work BETA

Theory of Games and Economic Behavior.John von Neumann & Oskar Morgenstern - 1944 - Princeton, NJ, USA: Princeton University Press.
Can Machines Read Our Minds?Christopher Burr & Nello Cristianini - 2019 - Minds and Machines 29 (3):461-494.

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