TY - JOUR
T1 - The Democratization of Artificial Intelligence
T2 - Theoretical Framework
AU - Costa, Carlos J.
AU - Aparício, Manuela
AU - Aparício, Sofia
AU - Aparício, João Tiago
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT#
https://doi.org/10.54499/UIDB/04152/2020#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04521%2F2020/PT#
info:eu-repo/grantAgreement/FCT/OE/UI%2FBD%2F153587%2F2022/PT#
Costa, C. J., Aparício, M., Aparício, S., & Aparício, J. T. (2024). The Democratization of Artificial Intelligence: Theoretical Framework. Applied Sciences (Switzerland), 14(18), 1-14. Article 8236. https://doi.org/10.3390/app14188236 --- This research was funded by FCT—Fundação para a Ciência e Tecnologia, I.P. (Portugal), under research grant numbers ADVANCE-CSG UIDB/04521/2020, UIDB/04152/2020—Centro de Investigação em Gestão de Informação (MagIC), and UI/BD/153587/2022.
PY - 2024/9/12
Y1 - 2024/9/12
N2 - The democratization of artificial intelligence (AI) involves extending access to AI technologies beyond specialized technical experts to a broader spectrum of users and organizations. This paper provides an overview of AI’s historical context and evolution, emphasizing the concept of AI democratization. Current trends shaping AI democratization are analyzed, highlighting key challenges and opportunities. The roles of pivotal stakeholders, including technology firms, educational entities, and governmental bodies, are examined in facilitating widespread AI adoption. A comprehensive framework elucidates the components, drivers, challenges, and strategies crucial to AI democratization. This framework is subsequently applied in the context of scenario analyses, offering insights into potential outcomes and implications. The paper concludes with recommendations for future research directions and strategic actions to foster responsible and inclusive AI development globally.
AB - The democratization of artificial intelligence (AI) involves extending access to AI technologies beyond specialized technical experts to a broader spectrum of users and organizations. This paper provides an overview of AI’s historical context and evolution, emphasizing the concept of AI democratization. Current trends shaping AI democratization are analyzed, highlighting key challenges and opportunities. The roles of pivotal stakeholders, including technology firms, educational entities, and governmental bodies, are examined in facilitating widespread AI adoption. A comprehensive framework elucidates the components, drivers, challenges, and strategies crucial to AI democratization. This framework is subsequently applied in the context of scenario analyses, offering insights into potential outcomes and implications. The paper concludes with recommendations for future research directions and strategic actions to foster responsible and inclusive AI development globally.
KW - AI democratization
KW - scenario analysis
KW - theoretical framework
UR - http://www.scopus.com/inward/record.url?scp=85205288381&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001323143100001
U2 - 10.3390/app14188236
DO - 10.3390/app14188236
M3 - Article
AN - SCOPUS:85205288381
SN - 2076-3417
VL - 14
SP - 1
EP - 14
JO - Applied Sciences (Switzerland)
JF - Applied Sciences (Switzerland)
IS - 18
M1 - 8236
ER -