Document Type : Original Article
Authors
1
Universitas Bengkulu, Indonasia
2
2Department of English Language, Am.C., Islamic Azad University, Amol, Iran.
3
Ph.D., Adjunct Professor, M.A. TESOL Faculty, New Uzbekistan University
10.22034/jes.2026.244788
Abstract
Artificial intelligence (AI) has emerged as a transformative force in contemporary business, reshaping organizational processes, decision-making structures, and stakeholder interactions. Despite its rapid diffusion, AI integration has frequently progressed with limited engagement with ethical considerations and human-centered values. This review examines how three interrelated dimensions of human intelligence, emotional intelligence (EI), social intelligence (SI), and spiritual intelligence (SpI), can be aligned with AI to support ethical transformation within organizational settings. A critical analysis of existing scholarship reveals that many AI-driven business models privilege technical optimization while remaining insufficiently connected to moral responsibility and human experience. Drawing on a mixed-methods orientation, the study synthesizes qualitative insights from interdisciplinary academic literature alongside descriptive quantitative evidence related to EI, SI, and SpI. This integrative analysis explores how these intelligences shape customer experience, ethical leadership, and employee well-being in AI-mediated workplaces. The findings indicate that emotional intelligence enhances AI-enabled personalization through empathic engagement, social intelligence supports shared and ethically informed decision-making, and spiritual intelligence provides a value-based orientation that guides reflective and responsible AI use. When considered collectively, these intelligences contribute to ethical organizational conduct, improved well-being, and long-term business sustainability. On this basis, the study advances a conceptual perspective for embedding human intelligences within AI-driven business strategies. While the analysis is limited by its reliance on secondary sources and conceptual synthesis, it identifies clear directions for future empirical research. Overall, the paper advocates a humanistic approach to AI in business, emphasizing innovation grounded in empathy, dignity, and ethical awareness.
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