Engineering the Emotional Subjective: A Deterministic Protocol for Affective Quantization Strategy for Vectorized Semantic Alignment in Generative Artificial Intelligence

This study addresses the core mandate of the human-AI collaboration by positioning AECL as a foundational domain for human systems engineering (HSE). We examine how AI is altering technological landscapes and reshaping human creativity, communication, and social structures. We argue that the integrity of this convergence depends on our interaction with machine intelligence: a move from passive generation to active verification within the human-in-the-loop protocol (Nardi, 1998). By replacing probabilistic guesswork with deterministic, client-side protocol, we demonstrate how engineering architectures can preserve humanities-based inquiry. This ensures that the reshaping of our social and creative worlds remains anchored in authentic human truth rather than algorithmic approximation.

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Publication Details

Journal
Auburn University Scholarly Repository
Published
2026-02-18
DOI
https://doi.org/10.35099/r458-0f69
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Engineering the Emotional Subjective: A Deterministic Protocol for Affective Quantization Strategy for Vectorized Semantic Alignment in Generative Artificial Intelligence

Christopher A. Clemons, Jason McKibben, Becky Haddad, James Lindner
Auburn University Scholarly Repository
Ethics and Social Impacts of AI
article

Engineering the Emotional Subjective: A Deterministic Protocol for Affective Quantization Strategy for Vectorized Semantic Alignment in Generative Artificial Intelligence

Christopher A. Clemons, Jason McKibben, Becky Haddad, James Lindner
article en

Abstract

This study addresses the core mandate of the human-AI collaboration by positioning AECL as a foundational domain for human systems engineering (HSE). We examine how AI is altering technological landscapes and reshaping human creativity, communication, and social structures. We argue that the integrity of this convergence depends on our interaction with machine intelligence: a move from passive generation to active verification within the human-in-the-loop protocol (Nardi, 1998). By replacing probabilistic guesswork with deterministic, client-side protocol, we demonstrate how engineering architectures can preserve humanities-based inquiry. This ensures that the reshaping of our social and creative worlds remains anchored in authentic human truth rather than algorithmic approximation.

Auburn University Scholarly Repository
Auburn University (US)
Openalex Percentile: Top 54%
Ethics and Social Impacts of AI
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Engineering the Emotional Subjective: A Deterministic Protocol for Affective Quantization Strategy for Vectorized Semantic Alignment in Generative Artificial Intelligence — Christopher A. Clemons, Jason McKibben, et al. · Auburn University Scholarly Repository (2026) | TGRS Research Map | TGRS