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Thinking beyond today
In the past few years, we have seen significant strides in analytics,
machine learning and artificial intelligence techniques. While we’re
only beginning to scratch the surface of what AI can help us do,
many are already working on what’s next.
We interviewed 30 AI experts to get their take on what advances
in AI technology and applications we can expect in the next decade.
© IBM, 2017
Necessity is the mother of innovation
“Faced with a constant onslaught of data, we
needed a new type of system that learns and
adapts, and we now have that with AI. What
was deemed impossible a few years ago is not
only becoming possible, it’s very quickly
becoming necessary and expected.”
— Arvind Krishna, Senior Vice President
of Hybrid Cloud and Director of IBM Research
© IBM, 20173
A new innovation equation
the rise of small data
+ deep reasoning
+ more unsupervised,
efficient deep learning
+ GPUs and new
AI hardware
innovation in artificial
intelligence
4 © IBM, 2017
5
Beyond deep learning
From big to small data
- Shift toward models requiring
less data for similar accuracy
From deep learning to deep reasoning
- Move from perception
& recognition tasks to decision
making
From supervised to unsupervised learning
- Work with less labeled data &
less human guidance
Learn more: http://bit.ly/ibm-ai-innovation
© IBM, 2017
Breaking the language barrier
“Language is a very tough nut to crack because
it allows us in a succinct way, without using a
whole lot of symbols, to say an extraordinarily
diverse set of things. It’s a significantly more
complex problem than perception, recognizing
objects or moving from speech to text.”
— Vijay Saraswat, Chief Scientist
for IBM Compliance Solutions
6 © IBM, 2017
Human-computer interaction changes
Moving from on-screen type to
voice represents
a sea change in computing
The future of AI will come with
natural language understanding
& context
This will usher in more robust
virtual assistants
& pervasive AI
7 © IBM, 2017
“You really get me!”
To gain better understanding, AI
must know context
It will need to know:
- Where you’ve been
- Where you’re going
- What your goals are
It must remember the entire
conversation, not just the
last query
It must be connected
to the world around you
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Learn more: http://bit.ly/ibm-ai-conversation
© IBM, 2017
Creativity is in the eye of the beholder
“We still have to define what creativity means.
We know some attributes like something that
is novel and unexpected, yet useful. It’s easy
for AI to come up with something novel just
randomly. But it’s very hard for it to come up
with something that is novel and unexpected
and useful.”
— John Smith, Manager of
Multimedia and Vision at IBM Research
9 © IBM, 2017
The quest for AI creativity
AI does well as a creative
“mimic”
It can reduce the mundane
execution tasks in creative
work
AI can also serve as
inspiration for human
creativity.
But can it — or should it — be
taught to be innately creative?
10 © IBM, 2017
Where does AI fit?
Teaching computers to be
creative is different from the
way humans learn to create.
How can computers learn the
subjective idea of beauty?
By studying pixels? Color
palettes?
In the end, AI will most likely
remain a creative partner.
Learn more: http://bit.ly/ibm-ai-creativity
11 © IBM, 2017
Keeping watch
“AI can be used for social good. It can be used for business purposes. But it can also be used for other types of social impact in which one man's good is another man's evil. We must remain aware of that.”
— James Hendler, Director of the Institute for Data Exploration and Applications,
Rensselaer Polytechnic Institute
12 © IBM, 2017
Building trust in AIThere is a wealth of potential for
artificial intelligence if we foster it
properly. To do this, we need:
Constant transparency into AI
systems & explanations for
their recommendations
General education on AI
Common standards for
interoperability & integration
High ethical standards for
AI-driven decisions
Continued collaboration
between scientists, academics,
industry, & government
13 © IBM, 2017
Whose values? Instilling human values in AI is
challenging, but possible
First, we must determine
whose values to use
Should computers be held to a
different set of values than
humans?
We must vigilantly prevent bias
from entering AI systems
And accept that computers
might be imperfect ethical
actors because they will not
feel emotion & consequences
like humans doLearn more: http://bit.ly/ibm-ai-trust
14 © IBM, 2017
A final thought
“Birds flap their wings to fly, but to make humans fly, we had to invent a different type of flying—one that did not occur in nature. And so, similarly, through AI, we’re going to invent many new types of thinking that don't exist biologically and that are not like human thinking. Therefore, this intelligence does not replace human thinking, but augments it.”
— Kevin Kelly, co-founder of Wired and
author of the best-seller The Inevitable
15 © IBM, 2017
Thank you to the experts
Arvind Krishna, IBM Honor Sherlock, IBM Michael Karasick, IBM
Aya Soffer, IBM James DiCarlo, MIT Michael Witbrock, IBM
Bowen Zhou, IBM James Hendler, RPI Murray Campbell, IBM
Chieko Asakawa, IBM Jason Toy, Somatic Rachel Bellamy, IBM
Costas Bekas, IBM Jay Turcot, Affectiva Rob High, IBM
David Konopnicki, IBM John Shtok, IBM Satinder Singh, U of Michigan
Dharmendra Modha, IBM John Smith, IBM Shivon Zillis, Bloomberg Beta
Gabi Zijderveld, Affectiva Kevin Kelly, Wired Vijay Saraswat, IBM
Grady Booch, IBM Margaret Boden, U of Sussex William Chamberlin, IBM
Guru Banavar, IBM Mark Sagar, Soul Machines Yoshua Bengio, U of Montreal
16 © IBM, 2017
Author: Laura DeLallo,
Senior Editor, IBM
Contact: [email protected]
@ldelall0
Report: bit.ly/ibm-ai-future
IBM Research: research.ibm.com
© Copyright IBM Corporation 2017
IBM Corporation
New Orchard Road
Armonk, NY 10504
Produced in the United States of America
March 2017
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