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Generative AI and digital resilience: a research agenda
Mid Sweden University, Faculty of Human Sciences, Department of Humanities and Social Sciences. Division of Computer Science, Electrical and Space Engineering, Department of Digital Services and Systems, Luleå University of Technology. (Risk and Crisis Research Centre (RCR))ORCID iD: 0000-0003-4869-5094
Mid Sweden University, Faculty of Science, Technology and Media, Department of Communication, Quality Management, and Information Systems (2023-). Department of Informatics, Umeå University. (Risk and Crisis Research Centre (RCR))ORCID iD: 0000-0002-1337-0479
2025 (English)In: Journal of Risk Research, ISSN 1366-9877, E-ISSN 1466-4461, p. 1-26Article in journal (Refereed) Epub ahead of print
Abstract [en]

Generative artificial intelligence (GAI) systems, such as ChatGPT and DALL-E, enable the automatic creation of content that closely resembles human-produced work, allowing for both constructive and potentially harmful applications. This study investigates the impact of GAI on digital resilience in society, focusing on the opportunities and challenges these technologies present. Digital resilience is defined as the capacity to maintain societal functions despite disruptions to or by digital systems. This study draws on a systematic literature review of 164 research articles, with findings categorized into three key perspectives: technology, organization, and governance. Within each perspective, themes for further research are identified. The results highlight the importance of recognizing GAI’s dual nature to both support and threaten digital resilience. To promote secure digitalization, our study calls for more empirical research on the risks associated with GAI applications, transparent artificial intelligence usage, and the establishment of ethical guidelines. The study also advocates for increased interdisciplinary research to ensure that new technologies and resilience can coexist as foundational elements of a resilient, democratic society.

Place, publisher, year, edition, pages
Informa UK Limited , 2025. p. 1-26
Keywords [en]
generative ai, chatGPT, large language models, risk, digital resilience
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:miun:diva-55229DOI: 10.1080/13669877.2025.2539105ISI: 001545670700001Scopus ID: 2-s2.0-105012627039OAI: oai:DiVA.org:miun-55229DiVA, id: diva2:1987763
Available from: 2025-08-07 Created: 2025-08-07 Last updated: 2025-09-25Bibliographically approved

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Große, ChristineSundberg, Leif

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