Managing Bias When Library Collections Become Data
Developments in AI research have dramatically changed what we can do with data and how we can learn from data. At the same time, implementations of AI amplify the prejudices in data often framed as ‘data bias’ and ‘algorithmic bias.’ Libraries, tasked with deciding what is worth keeping, are inheren...
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| Format: | Article |
| Language: | English |
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Chinese American Librarians Association
2020-07-01
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| Series: | International Journal of Librarianship (IJoL) |
| Online Access: | https://journal.calaijol.org/index.php/ijol/article/view/162 |