Artificial intelligence (AI) systems are rapidly reshaping social, economic, and interpersonal domains. While AI brings unprecedented efficiency and innovation, it also raises significant ethical challenges related to fairness, privacy, accountability, and human dignity. Emotional intelligence (EI) the capacity to perceive, understand, manage, and use emotions effectively offers a conceptual and practical framework for addressing these ethical concerns. This paper explores the integration of emotional intelligence principles into AI ethics, arguing that embedding EI into the design, governance, and deployment of AI can improve human–machine interaction, promote ethical AI outcomes, and foster responsible technological stewardship. We review foundational theories of EI and AI ethics, examine interdisciplinary connections, propose operational frameworks, and discuss implications for policy, research, and practice. Through analysis of case studies and emerging developments, we emphasize the need for emotionally intelligent AI systems that respect human values, enhance empathy in decision-making, and contribute to equitable and socially beneficial technological futures.
Wabale et al. (Wed,) studied this question.
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