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Keynote

Indigenous, feminine and technologist relational philosophies in the time of machine learning

Pages 6-22 | Received 26 Feb 2023, Accepted 06 Mar 2023, Published online: 15 Mar 2023
 

ABSTRACT

Machine Learning (ML) and Artificial Intelligence (AI) are for many the defining features of the early twenty-first century. With such a provocation, this essay considers how one might understand the relational philosophies articulated by Indigenous learning scientists, Indigenous technologists and feminine philosophers of education as co-constitutive of an ensemble mediating or regulating an educative philosophy interfacing with ML/AI. In these mediations, differing vocabularies – kin, the one caring, cooperative – are recognized for their ethical commitments, yet challenging epistemic claims in the contexts of ML. Similarly, ML poses some questions to claims made about relational and Indigenous epistemologies, where the latter is perceived as separated from and unaffected by computation specifically or algorithmic societies generally. This essay seeks to gain several vantage points to explore and complicate how diverse relational philosophies can address ML and perhaps reconsider their own critical practices.

Disclosure statement

No potential conflict of interest was reported by the author.

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