Scientific journal paper Q1
The democratization of artificial intelligence: Theoretical framework
Carlos J. Costa (Costa, C. J.); Manuela Aparicio (Aparicio, M.); Sofia Aparicio (Aparicio, S.); Joao Tiago Aparicio (Aparicio, J. T.);
Journal Title
Applied Sciences
Year (definitive publication)
2024
Language
English
Country
Switzerland
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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.
Acknowledgements
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Keywords
AI democratization,Theoretical framework,Scenario analysis
  • Computer and Information Sciences - Natural Sciences
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
  • Economics and Business - Social Sciences
  • Political Science - Social Sciences
Funding Records
Funding Reference Funding Entity
UIDB/04521/2020 Fundação para a Ciência e a Tecnologia
UIDB/04152/2020 Fundação para a Ciência e a Tecnologia
UI/BD/153587/2022 Fundação para a Ciência e a Tecnologia

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