Person-AI Bidirectional Fit - A Proof-Of-Concept Case Study Of Augmented Human-Ai Symbiosis In Management Decision-Making Process

TL;DR

This paper introduces Person-AI bidirectional fit (P-AI fit) as a context-sensitive, bidirectional alignment between a human decision-maker and an AI system, grounded in contingency and quality theory. It empirically tests the concept via a proof-of-concept hiring case for a Senior AI Lead, comparing independent human evaluations, an augmented symbiotic AI (H3LIX/LAIZA), and a general-purpose LLМr. Results show substantial divergence among humans, robust alignment between the CEO and H3LIX/LAIZA (including ethical disqualification of a high-risk candidate), and a critical false-positive from LLМr due to lack of organizational memory. The study provides initial evidence that higher P-AI fit in augmented symbiotic systems can yield more accurate, trustworthy, and context-sensitive managerial decisions, establishing a foundation for broader quantitative research in management science.

Abstract

This article develops the concept of Person-AI bidirectional fit, defined as the continuously evolving, context-sensitive alignment-primarily cognitive, but also emotional and behavioral-between a human decision-maker and an artificial intelligence system. Grounded in contingency theory and quality theory, the study examines the role of P-AI fit in managerial decision-making through a proof-of-concept case study involving a real hiring process for a Senior AI Lead. Three decision pathways are compared: (1) independent evaluations by a CEO, CTO, and CSO; (2) an evaluation produced by an augmented human-AI symbiotic intelligence system (H3LIX-LAIZA); and (3) an assessment generated by a general-purpose large language model. The results reveal substantial role-based divergence in human judgments, high alignment between H3LIX-LAIZA and the CEOs implicit decision model-including ethical disqualification of a high-risk candidate and a critical false-positive recommendation from the LLMr. The findings demonstrate that higher P-AI fit, exemplified by the CEO H3LIX-LAIZA relationship, functions as a mechanism linking augmented symbiotic intelligence to accurate, trustworthy, and context-sensitive decisions. The study provides an initial verification of the P-AI fit construct and a proof-of-concept for H3LIX-LAIZA as an augmented human-AI symbiotic intelligence system.

Figures (2)

• Figure 1: Comparison of human--AI relations. Source: own work.
• Figure 2: P-AI fit framework. Source: own work.