Ethically integrating AI tools in learning and development

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Artificial intelligence tools have the potential to enhance and transform learning and development processes, but does not come without its risks. In the article by Arghode and Nafukho (2025), the authors propose a three-pillar framework of how institutions can more mindfully integrate artificial intelligence schools into these areas, to prioritize fairness, trust, inclusivity and emotional intelligence. Research limitations/implications Arghode and Nafukho (2025) propose a framework for integrating artificial intelligence in learning and development, built on the three pillars of ethical integrity, human-AI relationships and emotionally-aware design. Practical implications Diverse users should be involved in early design and testing of artificial intelligence tools to ensure they are relevant and inclusive. Institutions both creating and using artificial intelligence tools should regularly audit these systems to ensure they are fair and unbiased. Educators should provide human supervision over artificial intelligence tools to prevent harm. Institutions should invest in training educators for the use and monitoring of artificial intelligence tools to ensure a knowledge of digital literacy and ethics relating to the technology. Educational policies should support regular reviews, audits and strong data protections when artificial intelligence tools are used in classrooms. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.