What is artificial intelligence, why designers can no longer ignore it, and how ai powered experiences can change our digital products.

1. User Experience &
Artificial Intelligence
A designer’s view on AI assisted UX,
or how Jacob met T-800
by Avissar Tim Alex | June 2018.

2. Disclaimer
“
”
With artificial intelligence, we are
summoning the demon. In all those stories
where there’s the guy with the pentagram
and the holy water, it’s like, yeah, he’s sure
he can control the demon. Didn’t work out.
Elon Musk

3. Here to talk about…
AI 101
Can we ignore it
How others are doing it today
Some AI fun

4. The theory and development of computer
systems able to perform tasks that
normally require human intelligence, such
as visual perception, speech recognition,
decision-making, and translation between
languages.
ar·ti·fi·cial in·tel·li·gence

5. ar·ti·fi·cial in·tel·li·gence
Artificial Intelligence (AI) is a way of making a
computer, a computer-controlled robot, or a
software think intelligently, in the similar
manner the intelligent humans think.
AI is accomplished by studying how human
brain thinks, and how humans learn, decide,
and work while trying to solve a problem, and
then using the outcomes of this study as a
basis of developing intelligent software and
systems.

6. 11 May 1997
Deep Blue beats
a reigning world chess
champion
1950
Alan Turing proposes
the ‘Turing Test’
Isaac Asimov published his
‘Three Laws of Robotics’
Antiquity
Myths of Hephaestus
of intelligent robots and artificial
beings
1642
Blaise Pascal invented the
mechanical calculator, the first
digital calculating machine
1915
Leonardo Torres built
the fist chess playing
automaton,
the El Ajedrecista
1941
Konrad Zuse built
the world’s first programmable
computer
A Brief History of AI
1206
Al-Jazari created a
programmable orchestra of
mechanical men
800
Geber develops the theory of
Takwin,, the artificial creation of
life in the laboratory

7. Machine Learning ‘ML’ Machine learning is one process by which a computer can
learn its trade.
The philosophy behind machine learning is similar to how
you or I learn about something: by experiencing it.

8. Artificial Intelligence ‘AI’
Artificial intelligence refers to a computer program able to
“think” for itself without programmed instructions.
Machine Learning ‘ML’

9. AI
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Pattern Recognition

10. I. Artificial Intelligence Explodes: New Deal Activity Record For AI Startups. CB Insights, 2016. https://www.cbinsights.com/research/artificial-intelligence-funding-trends/
Artificial Intelligence Explodes: New
Deal Activity Record For AI Startups I

11. Investment in AI should follow an upward trajectory in 2017 and is likely to be the most popular area of investment for tech-
savvy venture capital firms. As virtually all industries catch up with the technological advances AI presents, and as they seek
to implement them one way or another into their businesses and structures, AI is set to become more than a trend –
It will become a moving feast for years and even decades to come. I
“
”
I. Artificial intelligence: the investment of 2017 and beyond. February 2017 | EXPERT BRIEFING | PRIVATE EQUITY & VENTURE CAPITAL, financierworldwide.com

12. A business dependent on recommendation engines built on
machine learning and massive piles of user data about
products and purchases.
Built on it’s news feed and ad network, structured to
maximize user activity and advertising engagement based
on trillions
of data points and behaviors.
A business dependent on recommendation engines built on
machine learning and massive piles of user data about
movies and media.
Built on its search engine, arguably the most ubiquitous and
meaningful application of artificial intelligence the world has ever
known.

13. AI acquisitions 11 since 2012
Innovations Uses machine intelligence to help users sort,
curate and find content on Google Photos
Tech giants investing and innovating in Artificial Intelligence
AI acquisitions 7 since 2012
Innovations Working on bringing AI to iPhone chip
processors, known as Apple Neural Engine
AI acquisitions 5 since 2012
Innovations Built AI software that ‘narrates’ photos for blind people,
as well as AI that maps global internet use
AI acquisitions 5 since 2012
Innovations Developing products like Intel Xeon, Saffron and
Theano to make AI accessible to business
AI acquisitions 5 since 2012
Innovations 22 AI based APIs available to developers in
Microsoft Cognitive Services
AI acquisitions 3 since 2012
Innovations Watson, IBM’s question answering AI computer
system
AI acquisitions 3 since 2012
Innovations Einstein, Salesforce’s AI platform
AI acquisitions 1 since 2012
Innovations Embedding AI into all its major businesses, including its
search, and autonomous driving programs
AI acquisitions 2 since 2012
Innovations Using machine learning for charging the users for
what they are likely to pay
AI acquisitions 4 since 2012
Innovations Uses deep learning algorithm to rank tweets

14. Sound First
…music emanate from our alarm clocks in the morning, and fill our
cars, and give us chills, and make us cry.
I. Why Does Music Make Us Feel? Scientific American, September 2009. https://www.scientificamerican.com/article/why-does-music-make-us-fe/
“
”

15. 10% of Global Consumers Own AI Devices Such as Automated
Personal Assistants, Smart Speakers I
I. pwc - 2018 Global Consumer Insights Survey. https://www.pwc.com/gx/en/industries/consumer-markets/consumer-insights-survey.html

17. The Uncanny Valley
AI – NI: A delicate balance

18. Prosthetic Hand
Stuffed Animal
C-3PO
Corpse & Creepy human like robots
The relationship between the degree of an object's resemblance to a human being and the emotional
response to such an object.

19. AI – NI: A delicate balance do & don'ts
Do provide full user control to override AI decisions
Don’t be a stalker
Avoid threat to user’s self esteem & work security
Do not expose the extent of AI knowledge
Make the user, not the AI feel accomplished
Make a clear distinction between human and AI tasks

20. Airbnb's ‘Price Tips’, is an AI tool that “lets Airbnb hosts see exactly where they should set
the price of their property on a day-by-day basis to make it most likely to be rented”

21. I. The Netflix Tech Blog, March 2016. https://medium.com/netflix-techblog/extracting-image-metadata-at-scale-c89c60a2b9d2
Extracting image metadata
at scale
Netflix has a collection of nearly two million images that play very
prominent roles in helping members pick what to watch. Netflix uses
computer vision algorithms to address the challenges of focal point,
text placement and image clustering at a large scale.

22. I. The Netflix Tech Blog, March 2016. https://medium.com/netflix-techblog/extracting-image-metadata-at-scale-c89c60a2b9d2
Focal Point
AI to identify body positioning: close-up,
upper-body or a full body
AI that auto-selects the ‘best’, ‘most
interesting’ person
AI that detects and blurs edges for
images that don’t have a human

23. I. The Netflix Tech Blog, March 2016. https://medium.com/netflix-techblog/extracting-image-metadata-at-scale-c89c60a2b9d2
Text Placement
AI to determine what would be the best
place to put text on an image, the ‘New
Episode’ badge and placement of
subtitles in a video frame

24. I. The Netflix Tech Blog, March 2016. https://medium.com/netflix-techblog/extracting-image-metadata-at-scale-c89c60a2b9d2
Image Clustering
Netflix creates flavors of artwork for
different title to learn which image is
more effective globally.
AI determines a similarity index to group
images together by:
1. Histogram based distance
2. Structural similarity
3. Feature matching
4. Color similarity

25. Eye opener Reference Original Photoshop Facebook
A Machine learning system that tries to
fool itself into thinking its creations are
real.
One part of the system learns to
recognize, faces, and another part of the
system repeatedly creates images that,
based on feedback from the recognition
part, gradually grow in realism.
I. https://techcrunch.com/2018/06/16/facebooks-new-ai-research-is-a-real-eye-opener/

26. Enterprise UX adoption of artificial intelligence
does make sense
Known users
Contained work environment
Limited number of predefined use cases or behaviors
All the data is in-house

27. Experiment 1
Experiment 2
Experiment 3
Let’s Play…

28. Thanks for Listening.
Netflix blog: Extracting Image Metadata at Scale
Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone
Why Does Music Make Us Feel?
AI Experiments
Can AI Solve Your UX Design Problems?
Navigating a social world with robot partners: A quantitative cartography of the Uncanny Valley
Worth checking: