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Fugacity Phase Transition and Hyper-Heuristic Convergence for AI-centric Conceptual Estimating

Authors:
Steve Chan

Keywords: AI Development Life Cycle; interpretability; explainability; justification logic; decision engineering.

Abstract:
Levels of effort and timetable posits for the development and operationalization of System Transparency, Explainability, and Accountability (STEA)-centric Artificial Intelligence (AI) Systems (AIS) are beset by underestimation in often overlooked areas, such as the “Optimizing” facet of the “Deploying and Optimizing” phase of the AI Development Life Cycle, among others. This is a high derailment factor in conceptual estimating, particularly for those mission-critical AIS that do not well consider biases stemming from the broader Socio-Technical System (STS), which impact Interpretability & Explainability (I&E). In furtherance of bias mitigation and AIS whitening — STS-STEA-I&E (SSI) — an amalgam construct for facilitating/discerning a Fugacity Phase Transition (FPT) and Hyper-Heuristics (HH) convergence, segueing to an enhanced SSI contribution, is delineated.

Pages: 11 to 18

Copyright: Copyright (c) IARIA, 2025

Publication date: April 6, 2025

Published in: conference

ISSN: 2308-3735

ISBN: 978-1-68558-259-3

Location: Valencia, Spain

Dates: from April 6, 2025 to April 10, 2025