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This article discusses some trends and concepts in developing new generationof future Artificial General Intelligence (AGI) systems which relate to complexfacets and different types of human intelligence, especially social, emotional,attentional and ethical intelligence. We describe various aspects of multiplehuman intelligences and learning styles, which may impact on a variety of AIproblem domains. Using the concept of 'multiple intelligences' rather than asingle type of intelligence, we categorize and provide working definitions ofvarious AGI depending on their cognitive skills or capacities. Future AIsystems will be able not only to communicate with human users and each other,but also to efficiently exchange knowledge and wisdom with abilities ofcooperation, collaboration and even co-creating something new and valuable andhave meta-learning capacities. Multi-agent systems such as these can be used tosolve problems that would be difficult to solve by any individual intelligentagent.  Key words: Artificial General Intelligence (AGI), multiple intelligences,learning styles, physical intelligence, emotional intelligence, socialintelligence, attentional intelligence, moral-ethical intelligence, responsibledecision making, creative-innovative intelligence, cognitive functions,meta-learning of AI systems.

Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles