About the Author:

Dr Alvin Chan is the Yvon Pfeifer Professor of Artificial Intelligence & Emerging

Technologies at Cambridge Corporate University (Switzerland), specialising in AI

and educational innovation. He has led teacher training in digital pedagogy and

generative AI, developed AI-powered educational applications, and pioneered the

integration of Multiple Intelligence frameworks. Dr Chan has held academic

leadership roles, serves on editorial boards, and is a peer reviewer for leading journals

in artificial intelligence. His work centres on scalable, inclusive AI solutions for

teaching and learning.

Abstract:

The guide “Multiple Artificial Intelligence (MAI) – Exploring the Fusion of Multiple Intelligence Theory with Generative AI for Education and Business” by Prof. Dr. Alvin Chan explores the intersection of Howard Gardner’s Multiple Intelligences (MI) theory and generative AI technologies in both educational and business contexts. It begins with an accessible explanation of MI theory, which describes the eight intelligences and advocates for a broader, individualised approach to human capability beyond traditional metrics. The text then outlines the fundamentals of artificial intelligence and generative AI, introducing various types, including text, image, audio/speech, and video generation models.

The core of the work presents practical experiments that illustrate how combining MI with generative AI yields more adaptive and engaging teaching, assessment, and innovation. Comparative studies show that MI-based methods, enriched by generative AI, significantly enhance inclusivity, engagement, and personalisation compared to standard approaches. These experiments include lesson plan generators, assessment tools, product ideation, and marketing strategies, each analysed through the lens of traditional versus MI-driven techniques.

The discussion extends into business, highlighting how MI-inspired frameworks foster innovation, collaboration, and holistic skill development, whereas conventional approaches are more rigid and limited in scope. The guide concludes with a vision for a future where seamless integration of MI theory and AI across media types leads to transformative change in learning, work, and creativity.

Keywords: Multiple Intelligences, Generative AI, Education Innovation, Personalized Assessment, Product Ideation, Adaptive Learning