What is new with Artificial Intelligence? Human–agent interactions through the lens of social agency

In this article, we suggest that the study of social interactions and the development of a “sense of agency” in joint action can help determine the content of relevant explanations to be implemented in artificial systems to make them “explainable.” The introduction of automated systems, and more bro...

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Main Authors: Marine Pagliari, Valérian Chambon, Bruno Berberian
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2022.954444/full
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author Marine Pagliari
Marine Pagliari
Valérian Chambon
Bruno Berberian
author_facet Marine Pagliari
Marine Pagliari
Valérian Chambon
Bruno Berberian
author_sort Marine Pagliari
collection DOAJ
description In this article, we suggest that the study of social interactions and the development of a “sense of agency” in joint action can help determine the content of relevant explanations to be implemented in artificial systems to make them “explainable.” The introduction of automated systems, and more broadly of Artificial Intelligence (AI), into many domains has profoundly changed the nature of human activity, as well as the subjective experience that agents have of their own actions and their consequences – an experience that is commonly referred to as sense of agency. We propose to examine the empirical evidence supporting this impact of automation on individuals’ sense of agency, and hence on measures as diverse as operator performance, system explicability and acceptability. Because of some of its key characteristics, AI occupies a special status in the artificial systems landscape. We suggest that this status prompts us to reconsider human–AI interactions in the light of human–human relations. We approach the study of joint actions in human social interactions to deduce what key features are necessary for the development of a reliable sense of agency in a social context and suggest that such framework can help define what constitutes a good explanation. Finally, we propose possible directions to improve human–AI interactions and, in particular, to restore the sense of agency of human operators, improve their confidence in the decisions made by artificial agents, and increase the acceptability of such agents.
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spelling doaj.art-f7e6d84fcd594966aa8028122365f3e32022-12-22T04:32:14ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-09-011310.3389/fpsyg.2022.954444954444What is new with Artificial Intelligence? Human–agent interactions through the lens of social agencyMarine Pagliari0Marine Pagliari1Valérian Chambon2Bruno Berberian3Institut Jean Nicod, Département d’Études Cognitives, École Normale Supérieure, Centre National de la Recherche Scientifique, Paris Sciences et Lettres University, Paris, FranceInformation Processing and Systems, Office National d’Etudes et Recherches Aérospatiales, Salon de Provence, FranceInstitut Jean Nicod, Département d’Études Cognitives, École Normale Supérieure, Centre National de la Recherche Scientifique, Paris Sciences et Lettres University, Paris, FranceInformation Processing and Systems, Office National d’Etudes et Recherches Aérospatiales, Salon de Provence, FranceIn this article, we suggest that the study of social interactions and the development of a “sense of agency” in joint action can help determine the content of relevant explanations to be implemented in artificial systems to make them “explainable.” The introduction of automated systems, and more broadly of Artificial Intelligence (AI), into many domains has profoundly changed the nature of human activity, as well as the subjective experience that agents have of their own actions and their consequences – an experience that is commonly referred to as sense of agency. We propose to examine the empirical evidence supporting this impact of automation on individuals’ sense of agency, and hence on measures as diverse as operator performance, system explicability and acceptability. Because of some of its key characteristics, AI occupies a special status in the artificial systems landscape. We suggest that this status prompts us to reconsider human–AI interactions in the light of human–human relations. We approach the study of joint actions in human social interactions to deduce what key features are necessary for the development of a reliable sense of agency in a social context and suggest that such framework can help define what constitutes a good explanation. Finally, we propose possible directions to improve human–AI interactions and, in particular, to restore the sense of agency of human operators, improve their confidence in the decisions made by artificial agents, and increase the acceptability of such agents.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.954444/fullsense of agencysocial agencyjoint actionexplainable Artificial Intelligenceacceptabilityhuman–AI interaction
spellingShingle Marine Pagliari
Marine Pagliari
Valérian Chambon
Bruno Berberian
What is new with Artificial Intelligence? Human–agent interactions through the lens of social agency
Frontiers in Psychology
sense of agency
social agency
joint action
explainable Artificial Intelligence
acceptability
human–AI interaction
title What is new with Artificial Intelligence? Human–agent interactions through the lens of social agency
title_full What is new with Artificial Intelligence? Human–agent interactions through the lens of social agency
title_fullStr What is new with Artificial Intelligence? Human–agent interactions through the lens of social agency
title_full_unstemmed What is new with Artificial Intelligence? Human–agent interactions through the lens of social agency
title_short What is new with Artificial Intelligence? Human–agent interactions through the lens of social agency
title_sort what is new with artificial intelligence human agent interactions through the lens of social agency
topic sense of agency
social agency
joint action
explainable Artificial Intelligence
acceptability
human–AI interaction
url https://www.frontiersin.org/articles/10.3389/fpsyg.2022.954444/full
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