Advances in AI: When Applied Science is Not Science Applied

14 Pages Posted: 13 May 2023 Last revised: 4 Sep 2023

Date Written: May 11, 2023

Abstract

This essay (a) challenges the current perception of Artificial Intelligence to the light of its academic evolution; (b) discusses a series of common misunderstandings around it with especial emphasis on business applied science (key for all forthcoming on-platform organisations); (c) discloses the rationale that we have explored for the last 20 years towards its comprehensive evolution; and (d) motivates further research on a series of greenfields that leverage end-to-end human-controlled AI platforms, by design - from inputs to calibration.

Keywords: AI, machine learning, applied science, augmented machines, AI ecosystems, autonomous machines, avatars, algorithms, algorithmization, federated technology, transformation, digitalization

Suggested Citation

Alvarez-Teleña, Sergio and Díez-Fernández, Marta, Advances in AI: When Applied Science is Not Science Applied (May 11, 2023). Available at SSRN: https://ssrn.com/abstract=4445463 or http://dx.doi.org/10.2139/ssrn.4445463

SciTheWorld ( email )

Spain

Marta Díez-Fernández

SciTheWorld ( email )

Madrid
Spain

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