A shortened version of my AI STEM education presentation used at STEM event in Shenzhen, China

1. Preparing Our
Students for an
AI Future

2. Our greatest glory is not in
never falling, but in rising
every time we fall.
我们最大的荣耀不在于永不跌倒，
而在于每次跌倒时都能站起来。

3. 2016

4. Lee Sedol

5. Lee Sedol

6. “PricewaterhouseCoopers estimates AI
deployment will add $15.7 trillion to global
GDP by 2030.
China is predicted to take home $7 trillion of
that total, nearly double North America’s $3.7
trillion in gains.
As the economic balance of power tilts in
China’s favor, so too will political influence and
“soft power,” the country’s cultural and
ideological footprint around the globe.”
Excerpt From: Kai-Fu Lee. “AI Superpowers.”

7. 2016 2017

8. Impact of AI
and automation

9. ~400M (~4亿) jobs open to automation

10. Kaifu Lee（李开复）

11. Repetitive
重复的
Routine
常规

12. 50% in
5-10 years

13. Optimizable
可优化的

14. 50% in
10-15 years

15. Safe?

16. Creative
创造性的
Complex
复杂的

17. Why?

18. ≠ 同情

20. Graphic From: Kai-Fu Lee. “AI Superpowers.”

21. Graphic From: Kai-Fu Lee. “AI Superpowers.”

22. Graphic From: Kai-Fu Lee. “AI Superpowers.”

23. Graphic From: Kai-Fu Lee. “AI Superpowers.”

24. Graphic From: Kai-Fu Lee. “AI Superpowers.”

25. How do we prepare
our students?

26. Creativity
Problem
Solving
Collaboration

27. …learning how to learn is the most
important skill…because change is
going to come faster than ever and
whatever you do learn will be obsolete
faster than ever.
Excerpt From: Kai-Fu Lee. “AI Superpowers.”

29. Sundar Pichai
Larry Page

30. Creativity
Problem
Solving
Collaboration

31. STEAM
Project Based Instruction

33. • Week 1:
– Problem introduction;
team creation
• Teams competing with
each other
– Schedule and
commitment agreement
• Midterm presentation
• Final presentation and
final report
– Tools education w/
example tasks
• Library tools; research
tools; databases and
leads
• Agile philosophy
discussed; priorities
agreed
– Powerpoint presentation
skills and structure

34. • Week 2:
– Team schedules and
roles defined
• What to be delivered
when
• Who is responsible for
what
• Hypotheses
presented/tested with
professor
• Weeks 2-4:
– Standups
• Current state
• Blockers discussed in
terms and class
• Shared learnings
across teams and
support recorded for
class participation
• Week 5:
– Competing Proposals
presented
• Did it communicate the
goal and the solution
• Explain the planned
effort?
• Initial principles and
design for solution
– Professor Feedback
• What could be
delivered?
• What could be
improved?
• What lessons from all
teams could be
applied?
• Combine ideas into one
solution (if possible)

35. • Week 6-9:
– Teams form into
responsibility areas
• Product delivery
• Partnership delivery
• Pricing delivery
• Feasibility delivery
– Team leadership
reforms
• Different roles and
responsibilities
– Standups for final
delivery
• Current state
according to project
plan
• Blockers discussed in
terms and class
• Week 10:
– Final presentation
and Q&A
• Product visualization
• Product feasibility
and “reality”
• Product pricing and
market acceptance
• Professors questions
on viability
– Final documentation
/ report
• Deep dive details on
each area of
presentation

37. • Problem Solving
• Creativity
• Self learning
• Collaboration
• Leadership from within
• Self-imposed deadlines
• Failures as learning
• Personal investment

38. Ten CEO/entrepreneurs
STEAM

39. How to Foster Future
Talents?

41. Thank you very much.
非常感谢你.