Ethical data curation for AI: An approach based on feminist epistemology and critical theories of race

dc.contributor.authorLeavy, Susan
dc.contributor.authorSiapera, Eugenia
dc.contributor.authorO'Sullivan, Barry
dc.date.accessioned2021-10-05T15:25:32Z
dc.date.available2021-10-05T15:25:32Z
dc.date.issued2021-05-19
dc.date.updated2021-10-05T15:17:28Z
dc.description.abstractThe potential for bias embedded in data to lead to the perpetuation of social injustice though Artificial Intelligence (AI) necessitates an urgent reform of data curation practices for AI systems, especially those based on machine learning. Without appropriate ethical and regulatory frameworks there is a risk that decades of advances in human rights and civil liberties may be undermined. This paper proposes an approach to data curation for AI, grounded in feminist epistemology and informed by critical theories of race and feminist principles. The objective of this approach is to support critical evaluation of the social dynamics of power embedded in data for AI systems. We propose a set of fundamental guiding principles for ethical data curation that address the social construction of knowledge, call for inclusion of subjugated and new forms of knowledge, support critical evaluation of theoretical concepts within data and recognise the reflexive nature of knowledge. In developing this ethical framework for data curation, we aim to contribute to a virtue ethics for AI and ensure protection of fundamental and human rights.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLeavy, S., Siapera, E. and O'Sullivan, B. (2021) 'Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of Race', Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 19-21 May, Virtual Event, USA: Association for Computing Machinery, pp. 695–703. doi: 10.1145/3461702.3462598en
dc.identifier.doi10.1145/3461702.3462598en
dc.identifier.endpage703en
dc.identifier.startpage695en
dc.identifier.urihttps://hdl.handle.net/10468/12054
dc.language.isoenen
dc.publisherAssociation for Computing Machineryen
dc.relation.urihttps://dl.acm.org/doi/10.1145/3461702.3462598
dc.rights© 2021 Copyright held by the owner/author(s).This work is licensed under a Creative Commons Attribution International 4.0 licenseen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectCritical theories of raceen
dc.subjectData curationen
dc.subjectEthical AIen
dc.subjectFeminist theoryen
dc.titleEthical data curation for AI: An approach based on feminist epistemology and critical theories of raceen
dc.typeConference itemen
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