Trust in things: A review of social science perspectives on autonomous human-machine-team systems and systemic interdependence

For Autonomous Human Machine Teams and Systems (A-HMT-S) to function in a real-world setting, trust has to be established and verified in both human and non-human actors. But the nature of “trust” itself, as established by long-evolving social interaction among humans and as encoded by humans in the...

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Main Author: Mito Akiyoshi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2022.951296/full
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author Mito Akiyoshi
author_facet Mito Akiyoshi
author_sort Mito Akiyoshi
collection DOAJ
description For Autonomous Human Machine Teams and Systems (A-HMT-S) to function in a real-world setting, trust has to be established and verified in both human and non-human actors. But the nature of “trust” itself, as established by long-evolving social interaction among humans and as encoded by humans in the emergent behavior of machines, is not self-evident and should not be assumed a priori. The social sciences, broadly defined, can provide guidance in this regard, pointing to the situational, context-driven, and sometimes other-than-rational grounds that give rise to trustability, trustworthiness, and trust. This paper introduces social scientific perspectives that illuminate the nature of trust that A-HMT-S must produce as they take root in society. It does so by integrating key theoretical perspectives: the ecological theory of actors and their tasks, theory on the introduction of social problems into the civic sphere, and the material political economy framework developed in the sociological study of markets.
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spelling doaj.art-3144bfe23f0c4260bb49efca5caa8a5c2022-12-22T03:40:14ZengFrontiers Media S.A.Frontiers in Physics2296-424X2022-11-011010.3389/fphy.2022.951296951296Trust in things: A review of social science perspectives on autonomous human-machine-team systems and systemic interdependenceMito AkiyoshiFor Autonomous Human Machine Teams and Systems (A-HMT-S) to function in a real-world setting, trust has to be established and verified in both human and non-human actors. But the nature of “trust” itself, as established by long-evolving social interaction among humans and as encoded by humans in the emergent behavior of machines, is not self-evident and should not be assumed a priori. The social sciences, broadly defined, can provide guidance in this regard, pointing to the situational, context-driven, and sometimes other-than-rational grounds that give rise to trustability, trustworthiness, and trust. This paper introduces social scientific perspectives that illuminate the nature of trust that A-HMT-S must produce as they take root in society. It does so by integrating key theoretical perspectives: the ecological theory of actors and their tasks, theory on the introduction of social problems into the civic sphere, and the material political economy framework developed in the sociological study of markets.https://www.frontiersin.org/articles/10.3389/fphy.2022.951296/fullmachinealgorithmartificial intelligenceinterdependencesociologytrust
spellingShingle Mito Akiyoshi
Trust in things: A review of social science perspectives on autonomous human-machine-team systems and systemic interdependence
Frontiers in Physics
machine
algorithm
artificial intelligence
interdependence
sociology
trust
title Trust in things: A review of social science perspectives on autonomous human-machine-team systems and systemic interdependence
title_full Trust in things: A review of social science perspectives on autonomous human-machine-team systems and systemic interdependence
title_fullStr Trust in things: A review of social science perspectives on autonomous human-machine-team systems and systemic interdependence
title_full_unstemmed Trust in things: A review of social science perspectives on autonomous human-machine-team systems and systemic interdependence
title_short Trust in things: A review of social science perspectives on autonomous human-machine-team systems and systemic interdependence
title_sort trust in things a review of social science perspectives on autonomous human machine team systems and systemic interdependence
topic machine
algorithm
artificial intelligence
interdependence
sociology
trust
url https://www.frontiersin.org/articles/10.3389/fphy.2022.951296/full
work_keys_str_mv AT mitoakiyoshi trustinthingsareviewofsocialscienceperspectivesonautonomoushumanmachineteamsystemsandsystemicinterdependence