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Risk Taxonomies and Governance Frameworks for Generative AI

2026-01-02Documento de conferência Acesso embargado
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dc.contributor.authorCoutinho, Manuel Azevedo
dc.contributor.authorAshofteh, Afshin
dc.contributor.authorAl Helaly, Yasser
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.coverage.spatialCham, Switzerland
dc.date.accessioned2026-01-14T19:47:45Z
dc.date.available2026-01-14T19:47:45Z
dc.date.embargoedUntil2027-01-02
dc.date.issued2026-01-02
dc.descriptionCoutinho, M.A., Ashofteh, A., & Al Helaly, Y. (2026). Risk Taxonomies and Governance Frameworks for Generative AI: A Review of Ethical, Cybersecurity, and Regulatory Challenges. In Á. Rocha, F. García Peñalvo, C. J. Costa, & R. Gonçalves (Eds.), Proceedings of 20th Iberian Conference on Information Systems and Technologies (CISTI 2025) (Vol. 2, pp. 3-15). (Lecture Notes in Networks and Systems; Vol. 1717). Springer. https://doi.org/10.1007/978-3-032-10721-3_1 --- This research was supported by Portuguese national science funds made available through the FCT under project UIDB/04152/2020-Centro de Investigação em Gestão de Informação (MagIC).
dc.description.abstractThis study investigates the transformative evolution of generative artificial intelligence (GenAI), emphasizing its significant impact across critical sectors such as healthcare, education, government, and business. GenAI shifts from a research curiosity to an essential tool, and it offers remarkable opportunities for enhancing human creativity and productivity while posing serious challenges in ethical, social, and cybersecurity dimensions. The study analyzes the complex risk landscape linked to the deployment of GenAI, underscoring the pressing need for cohesive, integrated risk management frameworks that can effectively negotiate innovation with responsible development. An in-depth examination of existing regulatory and governance initiatives, including the European Union Artificial Intelligence Act (EU AI Act), highlights the necessity for harmonized risk taxonomies and actionable management strategies. Through a systematic literature review methodology, this research identifies 79 key articles from an initial pool of 1818, further augmented by additional relevant literature obtained through backward citation techniques. This comprehensive analysis aims to illuminate critical research gaps, offering essential insights needed to mitigate risks while fully leveraging the potential of GenAI.en
dc.description.versionauthorsversion
dc.description.versionpublished
dc.format.extent13
dc.format.extent1032560
dc.identifier.doi10.1007/978-3-032-10721-3_1
dc.identifier.isbn978-3-032-10720-6
dc.identifier.isbn978-3-032-10721-3
dc.identifier.issn2367-3370
dc.identifier.otherPURE: 148962200
dc.identifier.otherPURE UUID: 4d4cbf08-bb05-48d6-8c3d-e5a268785f57
dc.identifier.othercrossref: 10.1007/978-3-032-10721-3_1
dc.identifier.otherScopus: 105027159829
dc.identifier.otherWOS: 001737866200001
dc.identifier.otherORCID: /0000-0001-5183-7554/work/201633833
dc.identifier.urihttp://hdl.handle.net/10362/199176
dc.identifier.urlhttps://www.scopus.com/pages/publications/105027159829
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001737866200001
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.relationhttps://doi.org/10.54499/UID/04152/2025
dc.relationhttps://doi.org/10.54499/UID/PRR/04152/2025
dc.subjectGenerative AI
dc.subjectArtificial Intelligence
dc.subjectLarge Language Models
dc.subjectNatural Language Processing
dc.subjectEthics
dc.subjectTransparency
dc.subjectCybersecurity
dc.subjectPrivacy
dc.subjectRisk Management
dc.subjectControl and Systems Engineering
dc.subjectSignal Processing
dc.subjectComputer Networks and Communications
dc.subjectSDG 3 - Good Health and Well-being
dc.titleRisk Taxonomies and Governance Frameworks for Generative AIen
dc.title.subtitleA Review of Ethical, Cybersecurity, and Regulatory Challengesen
dc.typeconference object
degois.publication.firstPage3
degois.publication.lastPage15
degois.publication.titleProceedings of 20th Iberian Conference on Information Systems and Technologies (CISTI 2025)
degois.publication.title20th Iberian Conference on Information Systems and Technologies
degois.publication.volume2
dspace.entity.typePublication
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