Breaking the Kubernetes Kill Chain: Host Path Mount
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Artificial Intelligence: Existential Threat or Our Best Hope for the Future?
1. Artificial Intelligence: Existential
Threat or Our Best Hope for the
Future?
Jim Hendler, Rensselaer Polytechnic Institute
Tetherless World Chair of Computer, Web and Cognitive Sciences
Director, Rensselaer Institute for Data Exploration and Applications
http://www.cs.rpi.edu/~hendler
hendler@cs.rpi.edu
@jahendler
3. What is the appropriate role for
machine intelligence?
A question that faces us today
Increasingly capable machines are continuing to improve their skills on tasks,
both cognitive and physical, that previously have been the sole province of
humans.
What is the future promise vs. risk, and what should we do about that?
5. BBC: Stephen Hawking warns
artificial intelligence could end
mankind (Dec 2, 2014)
âHe told the BBC: The development of full artificial
intelligence could spell the end of the human race.â
"It would take off on its own, and re-design itself at
an ever increasing rate," he said. "Humans, who are
limited by slow biological evolution, couldn't
compete, and would be superseded.
A discussion/response to Stephen Hawking
10. And itâs not just games anymore
âą Gaining new
prominence because
of advances
â Improving robotic
capabilities
âą Increasingly able to
integrate in human
society (eg. self-
driving vehicles)
18. Watson (Blue-J) AI View
âą From a research perspective Watson is
interesting in a number of ways
â because of the underlying âcognitive pipelineâ
â as a different approach to memory-based reasoning
â as a model of (some aspects) of human cognition
â as the validation of a fundamental AI paradigm
19. AI reasoners and Control flow
Traditional AI systems (rule or logic)
generally work forward from knowledge or
backward from a goal looking âloopingâ
through possible answers and backtracking
when they cannot find one
20.
21. Simon (â69) ⊠to Minsky (â88) â ???
âą AI as monolithic reasoner/
statistical learner/ âŠ
vs
âą AI as collection of small
processes lightly linked and
moderated through learned
contexts
22. Simon (â69) ⊠to Minsky (â88) ⊠to
Watson (â12)
âą AI as monolithic reasoner/
statistical learner/ âŠ
vs
âą AI as collection of small
processes lightly linked and
moderated through learned
contexts
Re-emerging paradigm in cognitive computing thanks to WatsonâŠ
23. IBM points out
The volume of medical
knowledge doubles every five
years
81% of physicians canât even
space 5hrs/month to keep up
By 2020 doctors will face 200x
the amount of medical data and
facts that a human could process
and proposes that Watson will help.
24. Being a doctor is more than just what
is in the textbooks
Does textbook knowledge overcome experience, intuition and training?
25. Recent break-throughs in machine-learning
âphase transitionâ in capabilities of neural networks w/machine power
28. Recognition vs. knowledge
"If I was telling it to a kid, I'd probably say
something like 'the cat has fur and four legs and
goes meow, the duck is a bird and it swims and
goes quackâ. "
29. Adding knowledge?
Which could you sit in?
What is most likely to bite what?
Which one is most likely to become a computer scientist someday?
If you could only save one in an emergency, which would you choose?
âŠ
30. Adding knowledge?
Which could you sit in?
What is most likely to bite what?
Which one is most likely to become a computer scientist someday?
If you could only save one in an emergency, which would you choose?
âŠ
31. Ethics and Responsibilities
âą As AI gets more capable and the
interactions increase
â Who is responsible for use of the
technology
âą eg. is it the drone or the drone
designer who fires the missile
â What are the ethical dimensions of
machines taking human jobs
âą we are heading to a
displacement/disruption similar to
the industrial revolution
âą We made it through that, but with a
lot of painful societal change
32. Ethics and Responsibilities
âą As AI gets more capable and the
interactions increase
â is it ethical for us to not use machines
where we cannot deploy people?
33. BBC: Stephen Hawking warns
artificial intelligence could end
mankind (Dec 2, 2014)
âHe told the BBC: The development of full artificial
intelligence could spell the end of the human race.â
"It would take off on its own, and re-design itself at
an ever increasing rate," he said. "Humans, who are
limited by slow biological evolution, couldn't
compete, and would be superseded.
Done wrong, we do look at a scary possibility
34. Done right, it may be our best hope
âą eg. Our knowledge of cancer genomics grows
as cancer continues to spread
âą eg. Our neighborhoods degrade as wealth
disparity grows
âą eg. Our climate warms as we argue about the
causes without changing behaviors