How are learning analytics considering the societal values of fairness, accountability, transparency and human well-being?: a literature review

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• dc.contributor.author Hakami, Eyad
• dc.contributor.author Hernández Leo, Davinia
• dc.date.accessioned 2021-04-30T08:41:31Z
• dc.date.available 2021-04-30T08:41:31Z
• dc.date.issued 2020
• dc.description Comunicació presentada al LASI-SPAIN 2020: Learning Analytics Summer Institute Spain 2020, celebrat del 15 al 16 de juny de 2020 a Valladolid, Espanya.
• dc.description.abstract The scientific community is currently engaged in global efforts towards a movement that promotes positive human values in the ways we formulate and apply Artificial Intelligence (AI) solutions. As the use of intelligent algorithms and analytics are becoming more involved in how decisions are made in public and private life, the societal values of Fairness, Accountability and Transparency (FAT) and the multidimensional value of human Well-being are being discussed in the context of addressing potential negative and positive impacts of AI. This research paper reviews these four values and their implications in algorithms and investigates their empirical existence in the interdisciplinary field of Learning Analytics (LA). We present and highlight results of a literature review that was conducted across all the editions of the Learning Analytics & Knowledge (LAK) ACM conference proceedings. The findings provide different insights on how these societal and human values are being considered in LA research, tools, applications and ethical frameworks.en
• dc.description.sponsorship This work has been partially funded by the EU Regional Development Fund and the National Research Agency of the Spanish Ministry of Science and Innovation under project grants TIN2017-85179-C3-3-R, RED2018- 102725-T. D. Hernández-Leo acknowledges the support by ICREA under the ICREA Academia program.
• dc.format.mimetype application/pdf
• dc.identifier.citation Hakami E, Hernández-Leo D. How are learning analytics considering the societal values of fairness, accountability, transparency and human well-being?: a literature review. In: Martínez-Monés A, Álvarez A, Caeiro-Rodríguez M, Dimitriadis Y, editors. LASI-SPAIN 2020: Learning Analytics Summer Institute Spain 2020: Learning Analytics. Time for Adoption?; 2020 Jun 15-16; Valladolid, Spain. Aachen: CEUR; 2020. p. 121-41.
• dc.identifier.uri http://hdl.handle.net/10230/47267
• dc.language.iso eng
• dc.publisher CEUR Workshop Proceedings
• dc.relation.ispartof Martínez-Monés A, Álvarez A, Caeiro-Rodríguez M, Dimitriadis Y, editors. LASI-SPAIN 2020: Learning Analytics Summer Institute Spain 2020: Learning Analytics. Time for Adoption?; 2020 Jun 15-16; Valladolid, Spain. Aachen: CEUR; 2020. p. 121-41
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/TIN2017-85179-C3-3-R
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RED2018-102725-T
• dc.rights Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Learning analyticsen
• dc.subject.keyword Fairnessen
• dc.subject.keyword Transparencyen
• dc.subject.keyword Accountabilityen
• dc.subject.keyword Wellbeing/well-beingen
• dc.title How are learning analytics considering the societal values of fairness, accountability, transparency and human well-being?: a literature reviewen
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion