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.
Authors
- Christopher A. Clemons (ORCID: https://orcid.org/0000-0001-9879-0888)
- Jason McKibben
- Becky Haddad
- James Lindner
Institutions
- Auburn University (US)
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