Participatory AI: a method for integrating inclusive and ethical design considerations into autonomous system development

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dc.contributor.authorStimson, Christina E.
dc.contributor.authorRaper, Rebecca
dc.date.accessioned2025-01-22T15:25:25Z
dc.date.available2025-01-22T15:25:25Z
dc.date.freetoread2025-01-22
dc.date.issued2024-12-30
dc.date.pubOnline2024-12-30
dc.description.abstractThere has been significant work in the field of AI Ethics pertaining to how it might offer guidelines for developers to design, develop and deploy AI in an ethical way. Recently, the European Union’s AI Act has introduced a risk-based regulation approach for AI system development. However, despite the additional requirements the AI Act places on developers to ensure that their systems are created with transparency, fairness, and accountability etc., there is no formalised methodology for how this might be achieved. Drawing on the history of collaborative and emancipatory technology design in Scandinavia, this paper proposes a software development methodology founded on the ethics and praxis-based principles of Participatory Design. Integrating this approach into the established ‘Waterfall Method’, it offers developers a practical way of embedding ethics in AI development, and to thereby satisfy the requirements imposed by the new regulations.
dc.description.bookTitleLecture Notes in Computer Science
dc.description.conferencenameTowards Autonomous Robotic Systems 2024
dc.description.sponsorshipWellcome Trust
dc.description.sponsorshipThis work is part of Research for the Imagining Technologies for Disability Futures project, and this project was funded by The Wellcome Trust (214963/Z/18/Z, 214963/B/18/Z, and 214963/C/18/Z).
dc.format.extentpp. 144-154
dc.identifier.citationStimson CE, Raper R. (2025) Participatory AI: a method for integrating inclusive and ethical design considerations into autonomous system development. In: Towards Autonomous Robotic Systems (TAROS 2024). Proceedings: 25th Annual Conference, 21-23 August 2024, London, UK, Part I. Lecture Notes in Computer Science, Volume 15051, (Lecture Notes in Artificial Inteligence), December 2024, pp. 144-154
dc.identifier.eissn1611-3349
dc.identifier.elementsID561724
dc.identifier.isbn9783031720581
dc.identifier.issn0302-9743
dc.identifier.urihttps://doi.org/10.1007/978-3-031-72059-8_13
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23419
dc.identifier.volumeNo15051
dc.language.isoen
dc.publisherSpringer
dc.publisher.urihttps://link.springer.com/chapter/10.1007/978-3-031-72059-8_13
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject46 Information and Computing Sciences
dc.subject8.3 Policy, ethics, and research governance
dc.subjectGeneric health relevance
dc.subjectArtificial Intelligence & Image Processing
dc.subject46 Information and computing sciences
dc.titleParticipatory AI: a method for integrating inclusive and ethical design considerations into autonomous system development
dc.typeConference paper
dcterms.coverageLondon, UK
dcterms.dateAccepted2024-07-01
dcterms.temporal.endDate23-Sep-2024
dcterms.temporal.startDate21-Sep-2024

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