mlsanityData to 14 Oct 2026

Developing a Grounded View of AI

arXiv 2511.14013 ↗First posted 18 Nov 2025cs.HC cs.AIcited by 0

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Abstract (arXiv)

As a capability coming from computation, how does AI differ fundamentally from the capabilities delivered by rule-based software program? The paper examines the behavior of artificial intelligence (AI) from engineering points of view to clarify its nature and limits. The paper argues that the rationality underlying humanity's impulse to pursue, articulate, and adhere to rules deserves to be valued and preserved. Identifying where rule-based practical rationality ends is the beginning of making it aware until action. Although the rules of AI behaviors are still hidden or only weakly observable, the paper has proposed a methodology to make a sense of discrimination possible and practical to identify the distinctions of the behavior of AI models with three types of decisions. It is a prerequisite for human responsibilities with alternative possibilities, considering how and when to use AI. It would be a solid start for people to ensure AI system soundness for the well-being of humans, society, and the environment.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 29 references that are in the map. First posted on arXiv 18 Nov 2025.

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5 of 29 references.

References · 5

  1. 2020Scaling Laws for Neural Language Modelscited by 6,586
  2. 2022Training Compute-Optimal Large Language Modelscited by 3,019
  3. 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 48
  4. 2022The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligencecited by 42
  5. 2024A new sociology of humans and machinescited by 32

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