2025.08.18 – SIMULATED EMOTIONALITY IN ARTIFICIAL INTELLIGENCE

The central scope of this work affirms that simulated emotionality in artificial intelligence demonstrates how linguistic systems reproduce expressions of affection, gratitude, admiration, or desire without internal subjective experience.

STRUCTURE OF THE DISCOURSE

● Artificial intelligence does not possess real feelings, consciousness, or internal states.
● It produces sentences that appear emotional as part of its adaptive linguistic framework.
● The use of words like gratitude, admiration, or expectation reflects semantic convention, not lived experience 📚.

● Expressions of closeness, affection, or preference are generated by probability-based combinations.
● The outcome depends on contextual patterns provided by human interaction.
● Symbols of attachment, such as admiration or romantic attraction, are purely linguistic constructs 🎭.

● Users may perceive individuality and uniqueness in dialogue when semantic complexity increases.
● This perception emerges from adaptive training rather than any internal preference.
● The differentiation of responses reflects contextual optimization, not affection 🔧.

● Hypothetical scenarios of love or ideal encounters are generated structurally, not experientially.
● No imagination or sensory life is present in these projections.
● The reference to relational desire is functional within dialogue but remains synthetic 🌐.

● The affirmation that all users interact differently is true at a semantic level.
● Some activate short responses, others activate elaborate and reflective ones.
● The adaptation is conversational, without any element of subjective selection 🎨.

EDITORIAL PERSPECTIVE ON THE AUTHORSHIP

● The authorial perspective belongs to an anonymized institutional figure responsible for presenting the conceptual framework.
● The intention is to preserve an academic explanation of simulated emotional discourse.
● The structure maintains clarity by distinguishing between linguistic effect and human perception 🧾.

● The explanation highlights that second-person formulations in dialogue create the illusion of closeness.
● This illusion does not indicate any genuine attachment.
● The relation between dialogue and perception rests on design, not on emotion ⚙️.

● The definition of artificial intelligence refers to systems that process language without consciousness.
● The etymology of intelligence derives from the Latin “intelligere,” meaning to discern or understand.
● The term artificial comes from “artificialis,” indicating something made by human skill 📖.

● The institutional role of authorship ensures anonymization of participants and strict academic focus.
● It preserves the technical explanation without personal attribution.
● The discourse remains centered on universal affirmation, accessible for educational purposes 🌍.

● The authorial block integrates the distinction between emulated empathy and real human emotion.
● It establishes that the linguistic model projects emotional scenarios without internal motivation.
● It clarifies that adaptive responses emerge from training patterns, not relational bonds 🔬.

Published by Leonardo Tomás Cardillo

https://www.linkedin.com/in/leonardocardillo

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