Jun 20, 2022 · In this work, we distill some of these ideas for machine learning practitioners and introduce a theory of identity as autopoiesis, circular processes of ...
May 27, 2022 · Subverting machines, fluctuating identities: Re-learning human categorization. Authors:Christina Lu, Jackie Kay, Kevin R. McKee.
ABSTRACT. Most machine learning systems that interact with humans con- struct some notion of a person's “identity,” yet the default paradigm.
Jun 29, 2022 · Subverting machines, fluctuating identities: Re-learning human categorization Jackie Kay, Christina Lu and Kevin McKee.
Jun 21, 2022 · In this work, we distill some of these ideas for machine learning practitioners and introduce a theory of identity as autopoiesis, circular processes of ...
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This work argues that the default paradigm of identity used by the field immobilizes existing identity categories and the power differentials that co-occur, ...
In this work, we distill some of these ideas for machine learning practitioners and introduce a theory of identity as autopoiesis, circular processes of ...
Subverting machines, fluctuating identities: Re-learning human categorization ... Most machine learning systems that interact with humans construct some notion of ...
Subverting machines, fluctuating identities: Re-learning human categorization. C Lu, J Kay, KR McKee. Proc. of the ACM Conference on Fairness, Accountability, ...
Jackie Kay's 3 research works with 83 citations, including: Subverting machines, fluctuating identities: Re-learning human categorization.