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File:N-gram analysis results – top 20 recurrent 4-g for the 137 descriptions of "privacy" in AI governance guidelines.jpg

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From the study "Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance"

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Description
English: "We obtained the final description of these aggregated principles through a text mining technique known as n-gram analysis. This technique involved counting the successive repetition of words and groups of words within each principle category (Figure 1). The reader can find the code implementation of our approach in the following repository: https://github.com/Nkluge-correa/worldwide_AI-ethics."
Date
Source https://www.cell.com/patterns/fulltext/S2666-3899(23)00241-6
Author Authors of the study: Nicholas Kluge Corrêa Camila Galvão James William Santos Carolina Del Pino Edson Pontes Pinto Camila Barbosa Diogo Massmann Rodrigo Mambrini Luiza Galvão Edmund Terem Nythamar de Oliveira

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current22:05, 22 December 2023Thumbnail for version as of 22:05, 22 December 20233,362 × 1,525 (341 KB)Prototyperspective (talk | contribs)Uploaded a work by Authors of the study: Nicholas Kluge Corrêa Camila Galvão James William Santos Carolina Del Pino Edson Pontes Pinto Camila Barbosa Diogo Massmann Rodrigo Mambrini Luiza Galvão Edmund Terem Nythamar de Oliveira from https://www.cell.com/patterns/fulltext/S2666-3899(23)00241-6 with UploadWizard

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