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pro vyhledávání: '"Michelle Thorp"'
Autor:
Briony Blackmore, Michelle Thorp, Andrew Tzer-Yeu Chen, Fabio Morreale, Brent Burmester, Elham Bahmanteymouri, Matt Bartlett
Publikováno v:
Kōtuitui, Vol 18, Iss 4, Pp 443-456 (2023)
ABSTRACTArtificial intelligence systems require large amounts of data to allow them to learn and achieve high performance. That data is increasingly collected in extractive and exploitative ways, which transfer value and power from individuals to AI
Externí odkaz:
https://doaj.org/article/88c8e42a09c84bf88638ac2224d721a7
Publikováno v:
AI & SOCIETY.
Many modern digital products use Machine Learning (ML) to emulate human abilities, knowledge, and intellect. In order to achieve this goal, ML systems need the greatest possible quantity of training data to allow the Artificial Intelligence (AI) mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d32332e641e26c677e842ada55d1aab
https://doi.org/10.1007/s00146-023-01692-3
https://doi.org/10.1007/s00146-023-01692-3