Reimagining AI for sustainability: Cultivating imagination, hope, and response-ability
While the use of Artificial Intelligence (AI) in sustainability efforts continues to grow, dominant approaches remain narrowly focused on optimization, prediction, and control. This paper challenges the predictive/optimizing paradigm by proposing a relational perspective on AI—one that treats uncert...
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| Veröffentlicht in: | Information and organization Jg. 35; H. 3; S. 100586 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.09.2025
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| ISSN: | 1471-7727, 1873-7919 |
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| Abstract | While the use of Artificial Intelligence (AI) in sustainability efforts continues to grow, dominant approaches remain narrowly focused on optimization, prediction, and control. This paper challenges the predictive/optimizing paradigm by proposing a relational perspective on AI—one that treats uncertainty not as a problem to eliminate, but as a generative space for creativity, care, and transformation. Drawing on theories of relational agency, imagination, and hope, we explore how AI can participate in co-creating more ethical, empathetic, and ecologically attuned practices. Leveraging a preexisting case of AI-driven wildlife management in India, we conduct an analysis of a possible and desirable future, demonstrating how AI's affordances might be reconfigured and expanded: from tools of surveillance and efficiency to invitations for listening, attunement, and world-making. In this reimagined mode, AI supports not only the processing of data but the emergence of stories—enabling practitioners to sense, interpret, and respond to ecological entanglements in ways that foreground more-than-human perspectives and collective vulnerability.
We contribute to the growing discourse on sustainable AI by theorizing how practices of imagination and hope can cultivate response-able agency—a form of ethical responsiveness grounded in interdependence rather than mastery. Ultimately, we call for a reorientation of AI design and governance toward practices that do not merely optimize what is, but help bring forth what could be.
•We call for moving beyond the dominant predictive/optimizing paradigm on AI for sustainability, and propose a relational perspective on AI that treats uncertainty not as a problem to eliminate, but as a generative space for creativity, care, and transformation.•Building on an existing case of the use of AI in wildlife management in India, we conduct an analysis of a possible and desirable future, demonstrating how AI’s affordances might be reconfigured and expanded: from tools of surveillance and efficiency to invitations for listening, attunement, and world-making•Employing imagination allows us to transcend the limitations of the present, inviting us to co-create with AI and the environment, and cultivating hope opens up space for acknowledging the inherent uncertainty and indeterminacy of the future. Together with ethical responsiveness, this allows for using AI to go beyond incremental solutions, and toward desirable futures, in addressing sustainability challenges•We contribute to the growing discourse on sustainable AI by theorizing how practices of imagination and hope can cultivate response-able agency—a form of ethical responsiveness grounded in interdependence rather than mastery. |
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| AbstractList | While the use of Artificial Intelligence (AI) in sustainability efforts continues to grow, dominant approaches remain narrowly focused on optimization, prediction, and control. This paper challenges the predictive/optimizing paradigm by proposing a relational perspective on AI—one that treats uncertainty not as a problem to eliminate, but as a generative space for creativity, care, and transformation. Drawing on theories of relational agency, imagination, and hope, we explore how AI can participate in co-creating more ethical, empathetic, and ecologically attuned practices. Leveraging a preexisting case of AI-driven wildlife management in India, we conduct an analysis of a possible and desirable future, demonstrating how AI's affordances might be reconfigured and expanded: from tools of surveillance and efficiency to invitations for listening, attunement, and world-making. In this reimagined mode, AI supports not only the processing of data but the emergence of stories—enabling practitioners to sense, interpret, and respond to ecological entanglements in ways that foreground more-than-human perspectives and collective vulnerability.
We contribute to the growing discourse on sustainable AI by theorizing how practices of imagination and hope can cultivate response-able agency—a form of ethical responsiveness grounded in interdependence rather than mastery. Ultimately, we call for a reorientation of AI design and governance toward practices that do not merely optimize what is, but help bring forth what could be . While the use of Artificial Intelligence (AI) in sustainability efforts continues to grow, dominant approaches remain narrowly focused on optimization, prediction, and control. This paper challenges the predictive/optimizing paradigm by proposing a relational perspective on AI—one that treats uncertainty not as a problem to eliminate, but as a generative space for creativity, care, and transformation. Drawing on theories of relational agency, imagination, and hope, we explore how AI can participate in co-creating more ethical, empathetic, and ecologically attuned practices. Leveraging a preexisting case of AI-driven wildlife management in India, we conduct an analysis of a possible and desirable future, demonstrating how AI's affordances might be reconfigured and expanded: from tools of surveillance and efficiency to invitations for listening, attunement, and world-making. In this reimagined mode, AI supports not only the processing of data but the emergence of stories—enabling practitioners to sense, interpret, and respond to ecological entanglements in ways that foreground more-than-human perspectives and collective vulnerability. We contribute to the growing discourse on sustainable AI by theorizing how practices of imagination and hope can cultivate response-able agency—a form of ethical responsiveness grounded in interdependence rather than mastery. Ultimately, we call for a reorientation of AI design and governance toward practices that do not merely optimize what is, but help bring forth what could be. •We call for moving beyond the dominant predictive/optimizing paradigm on AI for sustainability, and propose a relational perspective on AI that treats uncertainty not as a problem to eliminate, but as a generative space for creativity, care, and transformation.•Building on an existing case of the use of AI in wildlife management in India, we conduct an analysis of a possible and desirable future, demonstrating how AI’s affordances might be reconfigured and expanded: from tools of surveillance and efficiency to invitations for listening, attunement, and world-making•Employing imagination allows us to transcend the limitations of the present, inviting us to co-create with AI and the environment, and cultivating hope opens up space for acknowledging the inherent uncertainty and indeterminacy of the future. Together with ethical responsiveness, this allows for using AI to go beyond incremental solutions, and toward desirable futures, in addressing sustainability challenges•We contribute to the growing discourse on sustainable AI by theorizing how practices of imagination and hope can cultivate response-able agency—a form of ethical responsiveness grounded in interdependence rather than mastery. |
| ArticleNumber | 100586 |
| Author | Hultin, Lotta Mähring, Magnus |
| Author_xml | – sequence: 1 givenname: Lotta surname: Hultin fullname: Hultin, Lotta email: lotta.hultin@sbs.su.se organization: Stockholm Business School, Stockholm University, 106 91 Stockholm, Sweden – sequence: 2 givenname: Magnus surname: Mähring fullname: Mähring, Magnus email: magnus.mahring@hhs.se organization: House of Innovation, Stockholm School of Economics, SE-113 83 Stockholm, Sweden |
| BackLink | https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-245648$$DView record from Swedish Publication Index (Stockholms universitet) https://research.hhs.se/esploro/outputs/journalArticle/Reimagining-AI-for-sustainability-Cultivating-imagination/991001647699006056$$DView record from Swedish Publication Index |
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| Cites_doi | 10.1177/26317877241235939 10.1080/09613218.2013.743396 10.1111/puar.13648 10.1080/0960085X.2020.1811786 10.1016/j.ijinfomgt.2020.102225 10.1177/0170840618765553 10.3390/su16219145 10.1177/26317877211020325 10.1007/s10869-015-9399-4 10.1016/j.ijme.2019.100330 10.1111/j.1467-954X.1990.tb03350.x 10.1177/26317877211005773 10.1016/j.infoandorg.2018.02.005 10.1177/0170840614559258 10.1177/01708406231175293 10.1177/0170840619844292 10.5465/amj.2015.0718 10.1162/152638001316881395 10.1080/0960085X.2022.2026621 10.1287/isre.2023.0152 10.1177/0170840603024001341 10.1016/j.ijinfomgt.2021.102383 10.3390/su13168952 10.3197/096327106778226293 10.2307/258965 10.5465/amr.2024.0360 10.1007/s43681-022-00218-9 10.1111/joms.12709 10.17705/1CAIS.05209 10.1080/21550085.2021.1990674 10.1038/s41467-019-14108-y 10.1016/j.scs.2024.105499 10.1016/j.infoandorg.2025.100560 10.5465/19416520802211644 10.1016/j.bushor.2019.09.003 10.1177/1086026619881145 10.1177/01708406231171889 10.1002/smj.3387 10.25300/MISQ/2021/15887 10.1016/j.rser.2021.111530 10.1016/j.ijinfomgt.2019.01.021 10.1002/bse.323 10.1177/1350508413489821 10.1016/j.ijinfomgt.2020.102104 10.1177/26317877211036714 |
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| Keywords | Response-ability Agency Imagination Sustainability Relationality Artificial intelligence Hope |
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