Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary research
Access to justice is one of the fundamental legitimating principles underlying all modern Western legal systems, yet its role in critical algorithm studies remains underdeveloped. In historical and methodological terms, the access to justice movement showcased multi- and interdisciplinary research o...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2022.882134/full |
| _version_ | 1828113796300800000 |
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| author | Laura Kontiainen Riikka Koulu Riikka Koulu Suvi Sankari |
| author_facet | Laura Kontiainen Riikka Koulu Riikka Koulu Suvi Sankari |
| author_sort | Laura Kontiainen |
| collection | DOAJ |
| description | Access to justice is one of the fundamental legitimating principles underlying all modern Western legal systems, yet its role in critical algorithm studies remains underdeveloped. In historical and methodological terms, the access to justice movement showcased multi- and interdisciplinary research on legal phenomena. We argue that interdisciplinary research on AI ethics and regulation, datafication of society, and algorithmic governance could benefit from adopting access to justice as a vantage point for bridging the different approaches in the context of administering justice. To this end, we explore technological, legal, and societal intersections to demonstrate how law, social sciences, and algorithm studies could benefit from a historically more informed and holistic approach facilitating more “cost-effective” interdisciplinary research collaboration. Such approach could assist the substantive study of algorithmic fairness to contribute actionable systemic solutions on what we perceive as systemic challenges. We propose utilizing access to justice as a boundary object for interdisciplinary dialogue over algorithmic fairness while respecting the epistemic diversity of disciplines. |
| first_indexed | 2024-04-11T12:14:38Z |
| format | Article |
| id | doaj.art-0f55777142374de6a7bd7adf7feee929 |
| institution | Directory Open Access Journal |
| issn | 2624-8212 |
| language | English |
| last_indexed | 2024-04-11T12:14:38Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj.art-0f55777142374de6a7bd7adf7feee9292022-12-22T04:24:21ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122022-12-01510.3389/frai.2022.882134882134Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary researchLaura Kontiainen0Riikka Koulu1Riikka Koulu2Suvi Sankari3Faculty of Law, Helsinki Institute for Social Sciences and Humanities, University of Helsinki, Helsinki, FinlandFaculty of Law, University of Helsinki Legal Tech Lab, Helsinki, FinlandFaculty of Social Sciences, Institute of Criminology and Legal Policy, University of Helsinki, Helsinki, FinlandEuropean Law, University of Helsinki Legal Tech Lab, Helsinki, FinlandAccess to justice is one of the fundamental legitimating principles underlying all modern Western legal systems, yet its role in critical algorithm studies remains underdeveloped. In historical and methodological terms, the access to justice movement showcased multi- and interdisciplinary research on legal phenomena. We argue that interdisciplinary research on AI ethics and regulation, datafication of society, and algorithmic governance could benefit from adopting access to justice as a vantage point for bridging the different approaches in the context of administering justice. To this end, we explore technological, legal, and societal intersections to demonstrate how law, social sciences, and algorithm studies could benefit from a historically more informed and holistic approach facilitating more “cost-effective” interdisciplinary research collaboration. Such approach could assist the substantive study of algorithmic fairness to contribute actionable systemic solutions on what we perceive as systemic challenges. We propose utilizing access to justice as a boundary object for interdisciplinary dialogue over algorithmic fairness while respecting the epistemic diversity of disciplines.https://www.frontiersin.org/articles/10.3389/frai.2022.882134/fulllawalgorithmsArtificial Intelligencetechnology governanceaccess to justiceinterdisciplinary research |
| spellingShingle | Laura Kontiainen Riikka Koulu Riikka Koulu Suvi Sankari Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary research Frontiers in Artificial Intelligence law algorithms Artificial Intelligence technology governance access to justice interdisciplinary research |
| title | Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary research |
| title_full | Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary research |
| title_fullStr | Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary research |
| title_full_unstemmed | Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary research |
| title_short | Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary research |
| title_sort | research agenda for algorithmic fairness studies access to justice lessons for interdisciplinary research |
| topic | law algorithms Artificial Intelligence technology governance access to justice interdisciplinary research |
| url | https://www.frontiersin.org/articles/10.3389/frai.2022.882134/full |
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