Part1: Artificial Intelligence at Work
1. Definitions of human, artificial and augmented intelligence.
2. A short history of how we got here (from Stanford in1959 to Silicon Valley in 2024)
3. AI hype, the trajectory, and the unknowns.
4. The reality is that no one knows anything for sure.

Part2: Human Flourishing in the Digital Era
5. Human flourishing and the human condition.
6. Human-technology entanglement.
7. Technology on its own is ineffective.
8. Post-humanism, transhumanism, singularity, and other discontents.

Part3: AI Systems in Action
9. The AI technology stack.
10. Humans, technology, and society in the loop.
11. The scientists themselves can’t agree.
12. Technology is not an island, systems are holistic.

Part4: The Elusive Return on AI Investment
13. AI is not a silver bullet: Systemic issues are still haunting organizations.
14. Our survey of workers at the frontline of AI implementations.
15. What do AI solutions providers say?
16. Conflicting voices: Hype vs reality.

Part5: Deep-Dive into Entangled AI Enablement
17. Citizen cognitive frames shape AI acceptance.
18. Threat avoidance vs opportunity chasing.
19. Human-machine collaboration and teamwork.
20. What humans want and need: Technology must enable meaningful work.

Part6: AI System Design Guidelines
21. Leadership, collaboration, and decision-making.
22. Organisational enablement factors.
23. Microfoundations for AI: Back to (renewed) basics.
24. Collaboration and co-creation ? Tiny Robots exercises.

Part7: Conclusions
25. Four elements for an holistic approach: strategic leadership, organizational enablement, technology development, human empowerment.
26. Models and frameworks to consider.
27. Past practices won’t cut it anymore.
28. Human flourishing in the digital era.