IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Artificial Intelligence in Innovation Labs: Map of Cases for the Public Sector

Artificial Intelligence in Innovation Labs: Map of Cases for the Public Sector
View Sample PDF
Author(s): Rodrigo Sandoval-Almazan (Universidad Autónoma del Estado de México, Mexico)and Adrián Osiel Millán-Vargas (Universidad Autónoma del Estado de México, Mexico)
Copyright: 2023
Pages: 18
Source title: Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes
Source Author(s)/Editor(s): David Valle-Cruz (Universidad Autónoma del Estado de México, Mexico), Nely Plata-Cesar (Universidad Autónoma del Estado de México, Mexico)and Jacobo Leonardo González-Ruíz (Universidad Autónoma del Estado de México, Mexico)
DOI: 10.4018/978-1-6684-5624-8.ch006

Purchase

View Artificial Intelligence in Innovation Labs: Map of Cases for the Public Sector on the publisher's website for pricing and purchasing information.

Abstract

Living labs are settings for open innovation that offer a collaborative platform for research, development, and experimentation in real-life contexts. The research question is: What are the characteristics of AI projects developed in innovation labs for the public sector? The authors collected data from exploring the innovation labs in Latin America, Europe, and Asia. The selection of the laboratories leads to four cases: the Civic Laboratory of AI in the Netherlands, the Laboratorio de Gobierno in Chile (Government's Lab in Chile), Secretaría de Innovación y Transformación in Argentina (Innovation and Transformation Secretary in Argentina), and the Smart Government Innovation Lab in Hong Kong. This chapter comprises five sections beginning with an introduction describing the context of artificial intelligence in the public sector and innovation labs. The second section presents a literature review with similar studies and a conceptual framework. The third section describes the methodology, and the fourth reports on the main findings. The last section contains conclusions, limitations, and future research.

Related Content

Kamel Mouloudj, Vu Lan Oanh LE, Achouak Bouarar, Ahmed Chemseddine Bouarar, Dachel Martínez Asanza, Mayuri Srivastava. © 2024. 20 pages.
José Eduardo Aleixo, José Luís Reis, Sandrina Francisca Teixeira, Ana Pinto de Lima. © 2024. 52 pages.
Jorge Figueiredo, Isabel Oliveira, Sérgio Silva, Margarida Pocinho, António Cardoso, Manuel Pereira. © 2024. 24 pages.
Fatih Pinarbasi. © 2024. 20 pages.
Stavros Kaperonis. © 2024. 25 pages.
Thomas Rui Mendes, Ana Cristina Antunes. © 2024. 24 pages.
Nuno Geada. © 2024. 12 pages.
Body Bottom