1) The document discusses the advancement of artificial intelligence and its impacts on higher education, presenting both transformative and disruptive views of the future of AI-powered education. 2) It highlights several AI technologies including AlphaGo, GAN photo generation, and human-like robot hands, and their breakthroughs from 2016-2018. 3) The author argues that the current wave of AI advancement is different and transformative due to increases in computing power, data, and improved algorithms such as deep learning and reinforcement learning.

1. Chenyang Xu  Copyright 2019
Artificial Intelligence and the Future
of Higher Education: Advancement
and Impacts
Chenyang Xu, PhD, IEEE Fellow
Co-Founding Partner, Silicon Valley Future Academy
UC Berkeley EECS Advisory Board | Johns Hopkins University BME Advisory Board
May 24, 2019, Joint Conference of the IAUP and the AUAP
Attended by over 300 university presidents from 26 countries and 6 continents
IAUP - International Association of University Presidents, AUAP - Association of Universities of Asia and the Pacific
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2. 2016 Google DeepMind AlphaGo
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3. 5/7/2019 Chenyang Xu, Ph.D. 2019 © 3
2018 OpenAI Five Dota 2
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4. 2017 NVIDIA GAN Photo Generation
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5. 2018 DeepFake by USC Prof. Hao Li
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6. Amazon Echo – Your Personal Assistant
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7. OpenAI Dactyl – Human-Like Robot Hand
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8. AI Technology Breakthroughs
2016 DeepMind AlphaGo 2018 OpenAI Five
2018 USC DeepFake
2017 GAN Photo Generation
2018 OpenAI Human-Like Robot HandAmazon Echo
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9. AI to drive GDP
gains of $15.7
Trillion Globally
by 2030
PWC AI Study: Sizing the Prize, June
2017
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10. What will the future of
AI powered higher education be?
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11. Transformative View
Personalized
Learning
Life Long
Education
AI
Teacher
Smart
Campus
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12. Disruptive View
Online
learning go
mainstream
Half college
go bankrupt
in a decade
AI teachers
displace human
teachers
AI to automate
half of the jobs
in 2 decades
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13. Revolutionary Future
Online
learning
bankrupt
Displace
ment
Massive
Jobs Loss
Personal-
ized
Life Long
Education
AI
Teacher
Smart
Campus
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14. Evolutionary Future
Better
Classroom
Learning
Continued Fixed
Years Degree
Education
AI Adopted
as Previous
Tech
More Online
Learning but as
complimentary
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15. Evolutionary?Revolutionary? vs
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16. Re-Evolutionary
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17. AI Hypes Were Not New … From the Beginning!!
1946 First Computer ENIAC, Global Press Headlines: “Electronic Brain”, “Wonder Brain”, “Wizard”,
“Predictor and Controller of Weather”
In 1969, Marvin Minsky, who had pronounced that machines
would surpass humans in general intelligence in his lifetime
June 2017, Fast company: AI Is Inventing Language Humans
Can’t Understand. Should We Stop It?
the Sun proposed that the incident “closely resembled the plot
of The Terminator in which a robot becomes self-aware and
starts waging a war on humans”.
In June 2017, Facebook AI researchers published work of
negotiation chat bots that generate language not fully human
like
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18. Limitations of latest AI Technology
AMAZON FACE RECOGNITION TECH MATCHES
28 MEMBERS OF CONGRESS WITH MUGSHOTS
ADERVESARY EXAMPLE CAUSE DEEP LEARNING
TECHNOLOGY TO COMPLETELY FAIL IN RECOGNITION
BLACK BOX PROBLEM OF AI
*The study was ran on a simulated patient, no real patient harmed
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19. So What’s the Reality?
The real reality is somewhere in the middle.
Currently, the present reality is overexaggerated, yet the future reality in ten years is underestimated
2015
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20. Why This Wave of AI Advancement is Different
and So Transformative?
Compute Data Algorithms
300,000x
Increase
since 2012
2011 2.5 ZB
2019 33 ZB
2025 175 ZB
Deep Learning
Reinforcement Learning
Generative Adversarial Networks
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21. Three Transformative Forces from the New AI
AI
L
PP
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22. Three Transformative Forces from the New AI
L
P
P
earning
rediction
ersonalization
Paradigm shift from human programming to machine
learning based IT technology
Paradigm shift from prescriptive to predictive decisions
and actions
Paradigm shift from mass batch services to mass
personalized services
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23. Three Transformative Forces from the New AI
L
P
P
earning
rediction
ersonalization
Paradigm shift from human programming to machine
learning based IT technology
Paradigm shift from prescriptive to predictive decisions
and actions
Paradigm shift from mass batch services to mass
personalized services
“AI is empowerment, and is already
start transforming our work and life
--- from education to healthcare, from
retail to industries”
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24. 3D Printing
Big Data
5G
Robotics
Mobile/Cloud
IoT
Blockchain
AR/VR
AI
L
PP
AI Led Technology Re-Evolution
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25. “College is about building a great human – intellectually and emotionally – and
answering the question: who do I want to be?”
Stanford Graduate, Class of 2003, Stanford 2025 Project
College enrolment will reach
332 millionby 2030
—an increase of
120 millionfrom 2015.
“Envisioning Pathways to 2030” Report,
Studyportals
• Personalized curriculum
• Adaptive learning pace
• Adaptive tests
• Optimal learning paths
• Made available for all
“220% increase in AI-driven
personalized learning platforms in
the next five years”
“New modes of education delivery
will emerge, with Netflix-
style, on-demanddigital
assets allowing for anytime,
anywhere self-learning”1
1. Relearning How we Learn,, Cognizant, Center for the Future of Work
AI Makes Personalized Learning Reality for AllBig Increase in Students
Impact 1: Personalized Learning
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26. Students’ learning monitoring
Teacher can see real time how students learn,
who need help, and teach them adaptively for
better outcome
Learning and instruction
Teachers could have more time to engage with
students on a deep level while AI helps with grading
and supplying basic resources for students.
Early waning systems
Spot students who are at risk of failing or dropping
out of a course, so teacher can give them the timely
attention and help them improve
Auto Grading System grade Mandarin / English tests
95% expert agreement rate, 7.8M students per year
AI will help teachers to reduce teaching load, spend more time to
engage with students on a deeper level
Ethics and Privacy
AI learned bias
Transparency and Trust
Concerns
and
Risks
Use AI and online platform to provide adaptive
education contents, exercises, test for students.
Automatic AI assessment of teacher’s questions
authenticity in classroom
Impact 2: Adaptive Teaching
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27. 5/24/2019 Chenyang Xu, Ph.D. 2019 © 27
Impact 3: Campus to Community
References: 1) Gary A. Bolles, “Unbundling Higher Education”; 2) Ed Tech Landscape, CBInsights
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28. Conclusion
Education OS
Entrepreneurship
Re-Evolutionary
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29. Chenyang Xu, Ph.D. 2019 ©2019/5/24
Contact Info
29
Chenyang Xu
chenyang.xu@ieee.org
xcy20140207
in/chenyang_xu
http://svfacademy.com
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