Responsible, Human-Centered AI Implementation and Use

How can we integrate AI into our life and work without weakening the very competencies that ensure our long-term, sustainable existence and competitiveness?
AI, technology is an opportunity and an equally huge responsibility.
The impact of excessive or non-mindful AI use on thinking, emotional and social skills, and mental health goes far beyond the individual. It shapes what the future of work will look like, which skills the future workforce will (or won't) have, the factors that drive competitiveness and in the long run, what kind of world and future we are creating for ourselves. Efficiency alone cannot be a good enough reason. We need to think further.
From the findings of OECD Education and Skills, the World Economic Forum and CASEL (Collaborative for Academic, Social, and Emotional Learning) Edisonplatform by Bridge Budapest has highlighted 12 key competencies that, in their view, require particular attention: 1. Social and cultural openness 2. Emotional intelligence 3. Critical thinking 4. Problem-solving 5. Self-awareness 6. Creativity 7. Digital intelligence 8. Communication 9. Collaboration 10. Curiosity 11. Persistence 12. Resilience.
Today's questions explore responsible, future-ready AI use through the lens of these 12 competencies.
🎁 Solution-focused question & excercise for organisations:
❓ What would our AI strategy look like if - beyond efficiency - intentionally aimed to protect and strengthen all 12 future-proof human competencies?
💡Exercise for organisations
🎁 Solution-focused question & excercise for leaders:
❓ How can I protect and strengthen the 12 future-proof competencies myself and in my team and how will I model responsible AI use that does not replace but actively develops and supports these human competences?
💡 Exercise for leaders
