Chapter 31: AI algorithmic oversight: new frontiers in regulation
Published
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | Online |
| اللغة: | الإنجليزية |
| منشور في: |
Edward Elgar Publishing
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://directory.doabooks.org/handle/20.500.12854/101270 |
| الوسوم: |
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| _version_ | 1869528478545608704 |
|---|---|
| author | Busuioc, Madalina |
| author_browse | Busuioc, Madalina |
| author_facet | Busuioc, Madalina |
| author_sort | Busuioc, Madalina |
| collection | Directory of Open Access Books |
| description | Published |
| format | Online |
| id | doab-20.500.12854ir-101270 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Edward Elgar Publishing |
| publisherStr | Edward Elgar Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1012702023-07-12T13:26:57Z Chapter 31: AI algorithmic oversight: new frontiers in regulation Busuioc, Madalina Agencies; Independence; Governance; Public Policy; Regulation; Regulatory Authorities JPP Published The rise of artificial intelligence is transforming our societies, permeating an ever-expanding array of domains ranging from finance to employment or healthcare. Public regulators, too, increasingly rely on machine learning techniques in the discharge of regulatory tasks - for instance, in prioritising regulatory targets for regulatory attention and/or enforcement, in areas as varied as environmental protection, securities or food safety. But the use of AI in government stretches well beyond the field of regulation, making significant inroads into the coercive and (re)distributive powers of the state itself. The current chapter highlights important challenges arising for regulation in this area, brought on by the specificities of artificial intelligence technologies, and the often high-stakes nature of their deployment in both public and private contexts. It explores the potential advantages and disadvantages of different modes of intervention in governing the development and deployment of artificial intelligence systems. Simultaneously, it flags critical aspects for consideration by regulators in this respect, speaking also to recent draft regulatory efforts in the EU. 2023-07-12T13:26:54Z 2023-07-12T13:26:54Z 2022-08-12 chapter https://directory.doabooks.org/handle/20.500.12854/101270 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.elgaronline.com/edcollchap-oa/book/9781839108990/book-part-9781839108990-43.xml Edward Elgar Publishing Edward Elgar Publishing https://doi.org/10.4337/9781839108990.00043 The rise of artificial intelligence is transforming our societies, permeating an ever-expanding array of domains ranging from finance to employment or healthcare. Public regulators, too, increasingly rely on machine learning techniques in the discharge of regulatory tasks - for instance, in prioritising regulatory targets for regulatory attention and/or enforcement, in areas as varied as environmental protection, securities or food safety. But the use of AI in government stretches well beyond the field of regulation, making significant inroads into the coercive and (re)distributive powers of the state itself. The current chapter highlights important challenges arising for regulation in this area, brought on by the specificities of artificial intelligence technologies, and the often high-stakes nature of their deployment in both public and private contexts. It explores the potential advantages and disadvantages of different modes of intervention in governing the development and deployment of artificial intelligence systems. Simultaneously, it flags critical aspects for consideration by regulators in this respect, speaking also to recent draft regulatory efforts in the EU. https://doi.org/10.4337/9781839108990.00043 01ceac28-75b4-492a-8eec-f9b98bc6b28c https://creativecommons.org/licenses/by-nc-nd/4.0/ Edward Elgar Publishing Cheltenham, UK open access |
| spellingShingle | Agencies; Independence; Governance; Public Policy; Regulation; Regulatory Authorities JPP Busuioc, Madalina Chapter 31: AI algorithmic oversight: new frontiers in regulation |
| title | Chapter 31: AI algorithmic oversight: new frontiers in regulation |
| title_full | Chapter 31: AI algorithmic oversight: new frontiers in regulation |
| title_fullStr | Chapter 31: AI algorithmic oversight: new frontiers in regulation |
| title_full_unstemmed | Chapter 31: AI algorithmic oversight: new frontiers in regulation |
| title_short | Chapter 31: AI algorithmic oversight: new frontiers in regulation |
| title_sort | chapter 31 ai algorithmic oversight new frontiers in regulation |
| topic | Agencies; Independence; Governance; Public Policy; Regulation; Regulatory Authorities JPP |
| topic_facet | Agencies; Independence; Governance; Public Policy; Regulation; Regulatory Authorities JPP |
| url | https://directory.doabooks.org/handle/20.500.12854/101270 |
| work_keys_str_mv | AT busuiocmadalina chapter31aialgorithmicoversightnewfrontiersinregulation |