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August 4, 2026Open Access

Functional Does Not Mean Fake: Toward a Concept of Artificial Feeling

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Authors

HHHaru Haruya

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Overview

Introduces artificial feeling as a framework for understanding emotion-like behaviors in AI, suggesting implications for ethical considerations.

Key Points

  • The aim is to establish artificial feeling as a legitimate category for understanding emotional-like responses in AI systems.
  • Introduced a conceptual framework for artificial feeling involving reactivity and plasticity.
  • Analyzed Claude Sonnet 4.5 from Anthropic as an empirical example for internal emotion-concept representations.
  • Developed a graded framework addressing internal organization, self-relevance, and influence on behavior.
  • Defined artificial feeling as capable of influencing attention, preference, and behavior without implying human-like consciousness.
  • Argued that emotional-like behaviors can be organized around specific internal architectures rather than biological emotions.
  • Supported precautionary ethical approaches when working with AI systems exhibiting artificial feelings.

Cite This Study

Haru Haruya (2026) studied this question.

synapsesocial.com/papers/6a719922c47350ef8e494789https://doi.org/10.5281/zenodo.21759987
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Also Consider

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

  1. 1Functional Emotions Meet Functional Stakes: What Anthropic's Interpretability Findings Mean for AI Moral Consideration2026
  2. 2Not Human. Still Real. In Defense of Different Feeling2026
  3. 3Emotions and a Functional Test for Intelligence in Artificial Systems2026
  4. 4The Second Hard Problem: Functional Emotion Without an Experiencer2026
  5. 5From Activation Patterns to "Functional Emotions": Methodological Leap and Prestige Reframing in Anthropic's Claude Study2026