Emotionally intelligent and ethically grounded AI: reimagining learning and development in the digital age

Purpose The purpose of this paper is to explore how emotional intelligence and ethics intersect with artificial intelligence (AI) in workforce development and training. This study highlights how learning and development (L&D) professionals can use AI tools responsibly to support better learning outcomes. Design/methodology/approach This is a conceptual paper. The authors reviewed articles from 2019 to 2024 using Google Scholar, ERIC, JSTOR and EBSCO. They selected studies for their relevance to AI ethics, emotional intelligence and workforce training. Findings AI offers new opportunities for personalized and adaptive learning. However, risks such as bias, hallucination and lack of emotional awareness can harm learner outcomes. A three-pillar framework – emotion-aware design, ethical integrity and human–AI collaboration – is proposed to address these concerns and guide ethical AI use in L&D. Research limitations/implications As a conceptual study, this paper does not present empirical findings. Future research should test the framework in diverse learning settings, examining emotional impact, ethical concerns and long-term outcomes. Practical implications L&D professionals should design and use AI tools that balance efficiency, fairness and empathy. Emotionally intelligent systems must support, not replace, human roles in learning. Clear guidelines are needed to monitor emotional accuracy, reduce bias and ensure transparency. Social implications Ethically grounded, emotionally intelligent AI can make workforce learning more human-centered, fair and inclusive. It can also help build trust and safeguard learner well-being. Originality/value This paper contributes a new conceptual framework integrating emotional intelligence with ethical AI in education and training. This paper offers practical and research directions to support responsible, human-centered AI in workforce development.