V Międzynarodowa Konferencja Naukowa Nauka o informacji (informacja naukowa) w okresie zmian Innowacyjne usługi informacyjne. Wydział Dziennikarstwa, Informacji i Bibliologii Katedra Informatologii, Uniwersytet Warszawski, Warszawa, 15 – 16 maja 2017

1. Artificial Intelligence.
The Vehicle of Innovation
M. Muraszkiewicz
Institute of Computer Science
Warsaw University of Technology
mrm@ii.pw.edu.pl

2. Table of Contents
1. Prologue
2. Artificial Intelligence (AI)
3. How to implement AI?
4. The Vehicle of Innovation
5. Epilogue

3. Prologue

4. Entrance to Plato’s Academy of AthensEntrance to the Future

5. Message #1
 Knowledge and skills of AI
are a laissez-passer to the future.
 Those who neglect/miss it will face extinction like
dinosaurs.

6. Artificial Intelligence

7. Intelligence
Organic Non-organic
artificial
While devising AI
we have tended
to emulate human intelligence.

8.  Knowing
 Reasoning
 Learning
 Understanding
 Adapting
 Acting
 Consciousness
Intelligence
Organic Non-organic
computers
 Memory, data models
 Inference rules
 Machine learning
 Ontologies, semantic nets
 Sensors + computers
 Programs, robots
 ???

9. By far the greatest danger
of Artificial Intelligence
is that people conclude
too early that they understand it.
―
Eliezer Yudkowsky
Warning!

10. level of
intelligence
year
2016
Singularity, super-
intelligence
Ray Kurzweil
2029
2045
cognitive
ditch
Non-human
intelligence?
Human-like
intelligence
machines that are
capable of
recursive
self-improvements
Deep Blue
AlphaGo
Exponential Age

11. Drawing hands, M. C. Escher, 1948

12. “The first ultraintelligent machine is the
last invention that man need ever
make, provided that the machine is
docile enough to tell us how to keep it
under control.
─Irving John Good, 1965

13. How
to Implement AI?

14. How
to Implement AI?
By devising and
experimenting with
models that can learn
and reason
We can grow them
organically or define
analytically
On computer platforms,
on a plethora of domains
and applications
Questions Answers
How to devise and
make models?
Where to
experiment with
and run the models?

15. The Vehicle
of Innovation

16. AI Horizontality & Disruptiveness.
The AI Tsunami.
Work
Education
Medicine
Food
Security
…
AI AI AI

17. Injecting Intelligence.
Digital Disruption.
…
Liquid
of Smartness
LofS
LofS

18. Epilogue

19.  Is Artificial Intelligence
a contemporary counterpart
of the Luddite Fallacy of
the 19th century?
 Will it cause mass
unemployment
or even destroy mankind?
Should we ban AI?
June 25th 2016
Musk Gates Hawking

20. Substitution of machinery for
human labour … is often very
injurious to the interests of the
class of labour.
David Ricardo. “On The Principles
of Political Economy and Taxation”, 1817
Catalogue of Fears

21. Message #2
Get ready to a co-habitation
with non-organic super-intelligence.

22. Message #3
Would you agree: A challenge to liberal
democracy lies not in ideology but in bioscience
and information technology?

23. Thank you for listening!