Sangam: A Confluence of Knowledge Streams

Authente-Kente: Enabling Authentication for Artisanal Economies with Deep Learning

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dc.contributor Information, School of
dc.contributor Penny W. Stamps School of Art and Design
dc.contributor Robotics Institute
dc.contributor Ann Arbor
dc.creator Robinson, Kwame
dc.creator Ron, Eglash
dc.creator Bennett, Audrey
dc.creator Nandakumar, Sansitha
dc.creator Robert, Lionel + "Jr"
dc.date 2020-08-20T13:02:17Z
dc.date 2020-08-20T13:02:17Z
dc.date 2020-08-20
dc.date.accessioned 2022-05-19T10:53:27Z
dc.date.available 2022-05-19T10:53:27Z
dc.identifier Robinson, K.P., Eglash, R., Bennett, A., Nandakumar, S. and Robert, L.P. (2020). Authente-Kente: Enabling Authentication for Artisanal Economies with Deep Learning, AI & Society, 10.13140/RG.2.2.27020.95362/2
dc.identifier https://hdl.handle.net/2027.42/156393
dc.identifier 10.13140/RG.2.2.27020.95362/2
dc.identifier AI & Society
dc.identifier 0000-0003-2663-571X
dc.identifier 0000-0003-1354-1300
dc.identifier 0000-0002-6763-2622
dc.identifier 0000-0001-8651-1415
dc.identifier 0000-0002-1410-2601
dc.identifier Robinson, Kwame; 0000-0003-2663-571X
dc.identifier Eglash, Ron; 0000-0003-1354-1300
dc.identifier Bennett, Audrey; 0000-0002-6763-2622
dc.identifier Nandakumar, Sansitha; 0000-0001-8651-1415
dc.identifier Robert, Lionel P.; 0000-0002-1410-2601
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/102090
dc.description The economy for artisanal products such as Navajo rugs or Pashmina shawls are often threatened by mass-produced fakes. We propose the use of AI-based authentication as one part of a larger system that would replace extractive economies with generative circulation. In this case study we examine initial experiments towards the development of a cell phone based authentication app for kente cloth in west Africa. We describe the context of weavers and cloth sales; an initial test of a machine learning algorithm for distinguishing between real and fake kente, and an outline of the next stages of development.
dc.description National Science Foundation (NSF) grant #1640014
dc.description Mcubed grant #8330
dc.description Peer Reviewed
dc.description http://deepblue.lib.umich.edu/bitstream/2027.42/156393/1/Robinson et al. 2020.pdf
dc.description Description of Robinson et al. 2020.pdf : PrePrint
dc.description SELF
dc.format application/pdf
dc.language en_US
dc.publisher AI & Society
dc.subject human-machine collaboration
dc.subject machine learning
dc.subject artisanal economy
dc.subject generative justice
dc.subject industrial symbiosis
dc.subject ethnocomputing
dc.subject algorithm
dc.subject artificial intelligence
dc.subject artisanal products
dc.subject AI-based authentication
dc.subject West Africa
dc.subject Authente-Kente
dc.subject robotics
dc.subject mass-produced fakes
dc.subject Information and Library Science
dc.subject Social Sciences
dc.title Authente-Kente: Enabling Authentication for Artisanal Economies with Deep Learning
dc.type Article


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