Future of Innovation: Research
Thought and practice leadership
X-Intelligence: Bitesize explainers
Each of the X-Intelligence explainers below summarise how 亚洲色吧 is designing the future of innovation with AI, through research and practice leadership.
They span Executive Intelligence (for decision makers), Learning Intelligence (for educators and learners), as well as research and practice that cut across both.
New issues of X-Intelligence explainers will be released regularly.
Issue 8 – Design AI Interactions and Innovations: Strengthen Skills, Battle Deskilling
Our findings from various Design AI research converge on three insights that compel us to rethink conventional strategies.
Issue 7 – Flexible Intelligence: Stretching Skills, Creativity and Imagination
What happens when a super creative and experienced fitness instructor meets AI? 鈥淎I makes you more human, if you use it wisely鈥
Issue 6 – AI You Can Trust: Bridging Perceptions and Reality with Action-Oriented Insights
“Will we trust AI?” and “What must be done for us to trust AI?” In this article, we provide nine strategies to enhance trust in AI.
Issue 5 – Executive Intelligence: Don鈥檛 Try Again. Try Differently.
How do we cultivate the kind of failure mindset that leads not to safer outcomes, but to bolder innovation鈥攅specially in an AI-rich world?
Issue 4 – DesignAI Edge x SuperSkillsStack: The Future of Innovation and Resilience
How might we strengthen resilience against disruption, dislocation, and deskilling? And also nurture innovators as AI advances accelerate in weeks and months instead of years?
Issue 3 – Executive Intelligence: What AI Reveals About the Nature of Expertise
What does AI reveal about how expertise really works鈥攁nd what must we do differently to thrive?
Issue 2 – Learning Intelligence: A Design AI Primer for Educators
This guide supports educators in designing activities that foster deep cognitive engagement, reduce AI dependence, and encourage student reflection and self-awareness.
Issue 1 – Executive Intelligence: A Design AI Primer for Decision Makers
How does pivoting to be a Design AI Organisation take full advantage of accelerating AI advances and make the most of our human potential?