Avoiding an oppressive future of machine learning : a design theory for emancipatory assistants
Gerald C. Kane, Amber G. Young, Ann Majchrak, Sam Ransbotham
| Year of publication: |
2021
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|---|---|
| Authors: | Kane, Gerald C. ; Young, Amber G. ; Majchrak, Ann ; Ransbotham, Sam |
| Published in: |
MIS quarterly. - Minneapolis, Minn : MISRC, ISSN 2162-9730, ZDB-ID 2068190-2. - Vol. 45.2021, 1, Art.-No. 45:1.12, p. 371-396
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| Subject: | Machine learning | artificial intelligence | designtheory | criticaltheory | next generation | oppression | emancipation | pedagogy | emergingtechnologies | socio-technical systems | affordances | future forecasting | freedom | social inclusion | algorithm | agency | rationality | autonomy | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Lernen | Learning |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.25300/MISQ/2021/1578 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012814902