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This research aims to develop a framework for culturally adaptive AI that aligns with social norms for sustainability.

March 15, 2026Results in EngineeringOpen Access

A Socio-Technical Architecture for Culturally Adaptive AI: Human-in-the-Loop Integration for Sustainable Operations

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Mixed-methods design shows human-in-the-loop AI influences sustainability performance through cultural factors.

This research aims to develop a framework for culturally adaptive AI that aligns with social norms for sustainability.
Utilized a mixed-methods design combining quantitative analysis with qualitative expert insights.
Conducted a PLS-SEM analysis with data from 420 professionals.
Employed expert interviews for qualitative context.
Found that human-in-the-loop integration enhances AI effectiveness in sustainable operations.
Demonstrated cultural variables significantly influence AI adoption and sustainability performance.

Aunchistha Poo-Udom (2026) studied this question.

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