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Medientyp:
E-Artikel
Titel:
The five tests: designing and evaluating AI according to indigenous Māori principles
Beteiligte:
Munn, Luke
Erschienen:
Springer Science and Business Media LLC, 2023
Erschienen in:
AI & SOCIETY (2023)
Sprache:
Englisch
DOI:
10.1007/s00146-023-01636-x
ISSN:
0951-5666;
1435-5655
Entstehung:
Anmerkungen:
Beschreibung:
<jats:title>Abstract</jats:title><jats:p>As AI technologies are increasingly deployed in work, welfare, healthcare, and other domains, there is a growing realization not only of their power but of their problems. AI has the capacity to reinforce historical injustice, to amplify labor precarity, and to cement forms of racial and gendered inequality. An alternate set of values, paradigms, and priorities are urgently needed. How might we design and evaluate AI from an indigenous perspective? This article draws upon the five Tests developed by Māori scholar Sir Hirini Moko Mead. This framework, informed by Māori knowledge and concepts, provides a method for assessing contentious issues and developing a Māori position. This paper takes up these tests, considers how each test might be applied to data-driven systems, and provides a number of concrete examples. This intervention challenges the priorities that currently underpin contemporary AI technologies but also offers a rubric for designing and evaluating AI according to an indigenous knowledge system.</jats:p>