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September 10, 2025Advances in Multidisciplinary & Scientific Research Journal Publication

Convergent Evolution in Artificial Intelligence: From Statistical Models to Generative Systems

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Authors

AAA.A. AkamiokhorOCObed ChukwuemekaFOF.B. Osang

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Overview

Theoretical framework offers insights into technological convergence in artificial intelligence, highlighting key shifts.

Key Points

  • The framework elucidates patterns in artificial intelligence evolution, revealing crucial technological shifts.
  • Key phenomena such as the democratization-concentration paradox show significant insights into AI development.
  • Analysis integrates multiple disciplines, utilizing complexity theory and emergent systems principles for AI insights.
  • While offering analytical tools, the framework recognizes the need for empirical validation in varying contexts.

Cite This Study

Akamiokhor et al. (2025) studied this question.

synapsesocial.com/papers/68c1c32154b1d3bfb60f0e93https://doi.org/10.22624/aims/cisdi/v16n2p1
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