An Artificial Intelligence Definition and Classification Framework for Public Sector Applications

Détails

ID Serval
serval:BIB_2D110106441C
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
An Artificial Intelligence Definition and Classification Framework for Public Sector Applications
Titre de la conférence
DG.O2021: The 22nd Annual International Conference on Digital Government Research
Auteur⸱e⸱s
Ballester Omar
Editeur
Association for Computing Machinery
Adresse
Omaha, NE, USA
ISBN
9781450384926
Statut éditorial
Publié
Date de publication
2021
Pages
67-75
Langue
anglais
Résumé
Artificial Intelligence (AI) currently holds the spotlight amongst the interdisciplinary research fields that transcend the realm of academia. AI methods are enabled by a wide variety of technologies, methods and data, presenting a number of opportunities and challenges in a public decision-making context that differ by context of application. While the regulatory landscape surrounding AI governance is a pressing problem for scholars, the literature has often overlooked the role of the government as a user of AI. This article presents a classification framework for AI applications that facilitates the work in public sector (in the role of user) deployment. With our framework, we try to provide a lens to different deployment-related questions.
Création de la notice
16/06/2021 17:45
Dernière modification de la notice
17/06/2021 6:35
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