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October 17, 2025Frontiers in Artificial IntelligenceOpen Access

Artificial Creativity: from predictive AI to Generative System 3

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JCJuan Carlos Chávez-Autor

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Overview

Conceptual analysis reveals GS-3 enhances novelty and adaptability in generative AI, suggesting deeper creativity mechanisms.

Key Points

  • GS-3 enhances generative AI by introducing internal evaluators and adaptive entropy controls to improve creativity.
  • Operational definitions of novelty, usefulness, and diversity were formalized, with multiple gain-update policies developed.
  • The method outlines behavioral indices with pass-fail criteria to evaluate the effectiveness of generative models.
  • Ethical guidance addresses cultural homogenization and bias through plural critics and ensures transparent logging.

Cite This Study

Juan Carlos Chávez-Autor (2025) studied this question.

synapsesocial.com/papers/68f199c5de32064e504dce41https://doi.org/10.3389/frai.2025.1654716
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Automating Creativity2024 · 2 citations
  2. 2System 3: Integrating Intuition and Rationality for Creativity2025
  3. 3System 3: Integrating Intuition and Rationality for Creativity2025
  4. 4Understanding Creativity Across Brains and Machines Through the GEEC Framework2026
  5. 5A Mathematical Model to Enhance Creativity in Generative AI Systems2024