‘Exploring Multiple Artificial Intelligence’ – World IT Forum (Singapore), 25th and 26th June, 2024 (via video: last minute change due to personal health issue).

MAI, or Multiple Artificial Intelligence, is the fusion of Howard Gardner’s Multiple Intelligence theory with Generative AI technologies. This innovative approach combines the understanding of diverse human intelligences with the capabilities of AI systems to create a more comprehensive and adaptable learning and problem-solving framework.

Key aspects of MAI include:

1. Integration of multiple intelligence types: MAI incorporates various forms of intelligence as defined by Gardner, such as linguistic, logical-mathematical, spatial, musical, bodily-kinesthetic, interpersonal, intrapersonal, and naturalistic intelligence.
2. AI-powered enhancement: Generative AI technologies are used to augment and support these different intelligence types, creating a more holistic approach to learning and problem-solving.
3. Personalized learning experiences: MAI can tailor educational content and approaches to individual learners based on their unique intelligence profiles, potentially improving engagement and outcomes.
4. Diverse problem-solving capabilities: By combining multiple intelligence types with AI, MAI systems can approach complex problems from various perspectives, potentially leading to more innovative solutions.
5. Adaptive assessment and feedback: MAI can provide more nuanced evaluations of learner progress and offer targeted feedback across different intelligence domains.

This fusion of Multiple Intelligence theory and Generative AI has the potential to revolutionize both education and business by offering more personalized, comprehensive, and effective approaches to learning, decision-making, and problem-solving.