Crip-Techno-Tinkerism: A Neurodivergent Learning Style Meets Machine Learning.

Autor:	Lincoln, Erika Jean
Předmět:	NEURODIVERSITY MACHINE learning ART & technology ARTISTS with disabilities COMPUTER art GENERATIVE art DIGITIZATION DATA management CRITICAL thinking
Zdroj:	Leonardo; Apr2024, Vol. 57 Issue 2, p173-178, 7p
Abstrakt:	The artist discusses the development of their crip-techno-tinkerism methodology and its application to machine learning. They outline how their tinkering with the creation of datasets and the manipulation of transfer learning within machine learning models can reflect the diversity of neurodivergent learning. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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