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

Author

Clemons, Christopher
Haddad, Becky
McKibben, Jason
Lindner, James
0000-0001-9879-0888
0000-0001-9153-2253
0000-0003-2080-202X
0000-0002-1448-3846

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.