Integrating Artificial Intelligence and Psychological Theory in Business Strategy: A Framework for Emotionally Intelligent and Ethically Adaptive Systems

Abstract

This research explores the integration of artificial intelligence (AI) and psychological theory in business strategy, proposing a framework for emotionally intelligent and ethically adaptive systems. The research, based on interdisciplinary research tenets in the field of machine learning, natural language processing, behavioral psychology, and strategic management, explores the way in which AI technologies can be arranged to resonate with human cognitive and emotional processes. The study uses a mixed-methods research design with thematic analysis of expert interviews and case studies and statistical modeling of data on consumer interaction. The results demonstrate that AI systems that take into account psychological knowledge (i.e., cognitive biases, emotional triggers, and motivational heuristics) are much more effective in engaging consumers, personalizing the experience, and responding ethically.The proposed framework provides a guide to designing AI systems that are not only analytically strong but also empathetic, transparent, and human-friendly. The paper adds to the budding research in the fields of affective computing, behavioral economics, and human-centered AI, and provides valuable guidelines to business executives, the designers of systems, and policy-makers.