journal article·2024-09-12Open access

The Democratization of Artificial Intelligence: Theoretical Framework

Carlos J. Costa, Manuela Aparicio, Sofia Aparicio, Joao Tiago Aparicio

Applied Sciences· Volume 14· Issue 18

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Ethics and Social Impacts of AI

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Advance/ISEG (Lisbon School of Economics & Management), Universidade de Lisboa, 1649-004 Lisbon, Portugal

NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, 1070-312 Lisbon, Portugal

Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal

Funding

FCT—Fundação para a Ciência e Tecnologia, I.P. (Portugal)

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