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‘Data dregs’ and its implications for AI ethics: Revelations from the pandemic
Technology giants today preside over vast troves of user data that are heavily mined for profit. The concentration of such valuable data in private hands to serve mainly commercial interests must be questioned. In this article, we argue that if data is the new oil, Big Tech companies possess extensi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788398/ https://www.ncbi.nlm.nih.gov/pubmed/35098248 http://dx.doi.org/10.1007/s43681-021-00130-8 |
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author | Lim, Sun Sun Bouffanais, Roland |
author_facet | Lim, Sun Sun Bouffanais, Roland |
author_sort | Lim, Sun Sun |
collection | PubMed |
description | Technology giants today preside over vast troves of user data that are heavily mined for profit. The concentration of such valuable data in private hands to serve mainly commercial interests must be questioned. In this article, we argue that if data is the new oil, Big Tech companies possess extensive, encompassing and granular data that is tantamount to premium oil. In contrast, governments, universities and think tanks undertake data collection efforts that are comparatively modest in scale, scope, duration and resolution and must contend with ‘data dregs’. Viewed against the backdrop of the COVID-19 pandemic, this sharp data asymmetry is unfortunate because the data Big Tech monopolizes is invaluable for boosting epidemiological control, formulating government policies, enhancing social services, improving urban planning and refining public education. We explain why this state of extreme data inequity undermines societal benefit and subverts our quest for ethical AI. We also propose how it should be addressed through data sharing and Open Data initiatives. |
format | Online Article Text |
id | pubmed-8788398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-87883982022-01-25 ‘Data dregs’ and its implications for AI ethics: Revelations from the pandemic Lim, Sun Sun Bouffanais, Roland AI Ethics Opinion Paper Technology giants today preside over vast troves of user data that are heavily mined for profit. The concentration of such valuable data in private hands to serve mainly commercial interests must be questioned. In this article, we argue that if data is the new oil, Big Tech companies possess extensive, encompassing and granular data that is tantamount to premium oil. In contrast, governments, universities and think tanks undertake data collection efforts that are comparatively modest in scale, scope, duration and resolution and must contend with ‘data dregs’. Viewed against the backdrop of the COVID-19 pandemic, this sharp data asymmetry is unfortunate because the data Big Tech monopolizes is invaluable for boosting epidemiological control, formulating government policies, enhancing social services, improving urban planning and refining public education. We explain why this state of extreme data inequity undermines societal benefit and subverts our quest for ethical AI. We also propose how it should be addressed through data sharing and Open Data initiatives. Springer International Publishing 2022-01-25 2022 /pmc/articles/PMC8788398/ /pubmed/35098248 http://dx.doi.org/10.1007/s43681-021-00130-8 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Opinion Paper Lim, Sun Sun Bouffanais, Roland ‘Data dregs’ and its implications for AI ethics: Revelations from the pandemic |
title | ‘Data dregs’ and its implications for AI ethics: Revelations from the pandemic |
title_full | ‘Data dregs’ and its implications for AI ethics: Revelations from the pandemic |
title_fullStr | ‘Data dregs’ and its implications for AI ethics: Revelations from the pandemic |
title_full_unstemmed | ‘Data dregs’ and its implications for AI ethics: Revelations from the pandemic |
title_short | ‘Data dregs’ and its implications for AI ethics: Revelations from the pandemic |
title_sort | ‘data dregs’ and its implications for ai ethics: revelations from the pandemic |
topic | Opinion Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788398/ https://www.ncbi.nlm.nih.gov/pubmed/35098248 http://dx.doi.org/10.1007/s43681-021-00130-8 |
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