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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Costa, C. J., Aparicio, M., Aparicio, S. & Aparicio, J. T. (2024). The democratization of artificial intelligence: Theoretical framework.  Applied Sciences. 14 (18)
Exportar Referência (IEEE) 
C. M. Costa et al.,  "The democratization of artificial intelligence: Theoretical framework", in  Applied Sciences, vol. 14, no. 18, 2024
Exportar BibTeX 
@article{costa2024_1734977598836,
	author = "Costa, C. J. and Aparicio, M. and Aparicio, S. and Aparicio, J. T.",
	title = "The democratization of artificial intelligence: Theoretical framework",
	journal = " Applied Sciences",
	year = "2024",
	volume = "14",
	number = "18",
	doi = "10.3390/app14188236",
	url = "https://www.mdpi.com/2076-3417/14/18/8236"
}
Exportar RIS 
TY  - JOUR
TI  - The democratization of artificial intelligence: Theoretical framework
T2  -  Applied Sciences
VL  - 14
IS  - 18
AU  - Costa, C. J.
AU  - Aparicio, M.
AU  - Aparicio, S.
AU  - Aparicio, J. T.
PY  - 2024
SN  - 2076-3417
DO  - 10.3390/app14188236
UR  - https://www.mdpi.com/2076-3417/14/18/8236
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.
ER  -