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Rethinking Administrative Law for Algorithmic Decision Making
The increasing prevalence of algorithmic decision making (ADM) by public authorities raises a number of challenges for administrative law in the form of technical decisions about the necessary metrics for evaluating such systems, their opacity, the scalability of errors, their use of correlation as...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126137/ https://www.ncbi.nlm.nih.gov/pubmed/35615107 http://dx.doi.org/10.1093/ojls/gqab032 |
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author | Williams, Rebecca |
author_facet | Williams, Rebecca |
author_sort | Williams, Rebecca |
collection | PubMed |
description | The increasing prevalence of algorithmic decision making (ADM) by public authorities raises a number of challenges for administrative law in the form of technical decisions about the necessary metrics for evaluating such systems, their opacity, the scalability of errors, their use of correlation as opposed to causation and so on. If administrative law is to provide the necessary guidance to enable optimal use of such systems, there are a number of ways in which it will need to become more nuanced and advanced. However, if it is able to rise to this challenge, administrative law has the potential not only to do useful work itself in controlling ADM, but also to support the work of the Information Commissioner’s Office and provide guidance on the interpretation of concepts such as ‘meaningful information’ and ‘proportionality’ within the General Data Protection Regulation. |
format | Online Article Text |
id | pubmed-9126137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91261372022-05-24 Rethinking Administrative Law for Algorithmic Decision Making Williams, Rebecca Oxf J Leg Stud Articles The increasing prevalence of algorithmic decision making (ADM) by public authorities raises a number of challenges for administrative law in the form of technical decisions about the necessary metrics for evaluating such systems, their opacity, the scalability of errors, their use of correlation as opposed to causation and so on. If administrative law is to provide the necessary guidance to enable optimal use of such systems, there are a number of ways in which it will need to become more nuanced and advanced. However, if it is able to rise to this challenge, administrative law has the potential not only to do useful work itself in controlling ADM, but also to support the work of the Information Commissioner’s Office and provide guidance on the interpretation of concepts such as ‘meaningful information’ and ‘proportionality’ within the General Data Protection Regulation. Oxford University Press 2021-10-30 /pmc/articles/PMC9126137/ /pubmed/35615107 http://dx.doi.org/10.1093/ojls/gqab032 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Williams, Rebecca Rethinking Administrative Law for Algorithmic Decision Making |
title | Rethinking Administrative Law for Algorithmic Decision Making |
title_full | Rethinking Administrative Law for Algorithmic Decision Making |
title_fullStr | Rethinking Administrative Law for Algorithmic Decision Making |
title_full_unstemmed | Rethinking Administrative Law for Algorithmic Decision Making |
title_short | Rethinking Administrative Law for Algorithmic Decision Making |
title_sort | rethinking administrative law for algorithmic decision making |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126137/ https://www.ncbi.nlm.nih.gov/pubmed/35615107 http://dx.doi.org/10.1093/ojls/gqab032 |
work_keys_str_mv | AT williamsrebecca rethinkingadministrativelawforalgorithmicdecisionmaking |