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ALEXANDER MEINHARDT
@KUTTIN3DGE
KRUNCHTIME.ORG
© Lawrence Lek
HOW DEEP LEARNING
IS CHANGING THE DESIGN
PROCESS
WHAT IS
DEEP
LEARNING?
© Lawrence Lek© Lawrence Lek
Artificial
Intelligence
Machine
Learning
Deep
Learning
Artificial
Intelligence
Machine
Learning
Deep
Learning
Early artificial intelligence
stirs exitement
Machine learning begins
to flourish.
Deep learning breaktroughs
drive AI boom.
1950’s 1950’s 1970’s 1980’s 1990’s 2000’s 2010’s
THE TERMS ARE
OFTEN USED
INTERCHANGEABLY –
YET THEY AREN’T
THE SAME
Machine Learning
Machine learning is the ability
to learn without being explicitly
programmed.
It helps programs to learn from their own
mistakes and improve their performance over
time.
Machine Learning
Data mining
Image recognition
Facebook newsfeed
Netflix suggestions
Big Data analysis
Amazon suggestions
Predictive analytics
Machine Learning
Notifications
Predictive Keyboards
Spam/Quality Control Systems
Copywriting
Design Patterns
Gesture Recognition
Content Actions/
Feedback
Magic Numbers
Search
Related Content
Character Recognition
Machine Learning
Notifications
Predictive Keyboards
Spam/Quality Control Systems
Copywriting
Design Patterns
Gesture Recognition
Content Actions/
Feedback
Magic Numbers
Search
Related Content
Character Recognition
Artificial IntelligenceAI landscape
© Narrative Science
© Narrative Science
Artificial IntelligenceAI landscape
© cloud-nqb.com
Artificial IntelligenceAI landscape
© Lux Research
© Matthew Mayo
Machine Learning
Artifical Intelligence
Data Mining
Data Science
Deep
Learning
Big Data
Deep Learning
Deep Learning is based on
Artificial Neural Networks.
These are systems that are designed to
process information in ways that are similar to
the ways biological brains work. It uses a
certain set of Machine Learning algorithms
that run in multiple layers.
Artificial IntelligenceMachine Learning vs Deep Learning
© Rasmus Rothe
AI HAS BY NOW SUCCEEDED
IN DOING ESSENTIALLY
EVERYTHING THAT REQUIRES
‘THINKING’
Donald Knuth, Stanford University
BUT HAS FAILED TO DO
MOST OF WHAT PEOPLE DO
‘WITHOUT THINKING’
Donald Knuth, Stanford University
Possible
Desirable
Profitable
A user experience
powered by
a system that
learns
© Fabien Girardin
TensorFlow / Lite Caffe2Go Machine Learning Kit
© Lawrence Lek
WHAT
CAN BE
DONE
TODAY?
© Lawrence Lek
© Frank Chen
© Frank Chen
© Frank Chen
© Frank Chen
© Frank Chen
Image recognition error rate
COMPUTER VISION
USE CASES
Google Lens
Can an algorithm see what you see
and help you take action based on
this information?
Google Lens
Google Lens
Google Search
Blippr
Photoeditor SDK
Can an algorithm extract foreground
content from its background?
Photoeditor SDK
Photoeditor SDK
Adobe - Deep Image Matting
Adobe - Deep Image Matting
Adobe - Deep Image Matting
Adobe - Deep Image Matting
Google Research
Can an algorithm remove
watermarks from stock photos?
Google Research
Google Research
Google Research
Google Research
Can an algorithm understand what
makes good photography?
Google Research
Google Research
Google Research
Google Research
EyeEm - Vision
Can an algorithm learn and suggest
aesthetics in a way an art director
would?
EyeEm - VisionEyeEm - Vision
Neural Storyteller
Can an algorithm make up poetry
from a given image?
Neural Storyteller
Neural Storyteller
Neural Storyteller
Rapto
Can an algorithm make up lyrics
from any given object?
HOW DEEP LEARNING CHANGES THE DESIGN
PROCESS
Rapto
FACE RECOGNITION
USE CASES
Google Allo
Can an algorithm create an avatar
for you on the fly?
Google Allo
Google Allo
Adobe Sensei
Can an algorithm optimize a selfie
on the fly?
Adobe Selfie App
Adobe Sensei
Content intelligence
Face Aware Editing
Visual Stock Search
Auto Lip Sync
Semantic Segmentation
Face-Aware Liquify
Apple - Machine Learning Kit
Apple - Live Photo Loops
Apple - Portrait Lightting
DRAWING RECOGNITION
USE CASES
Apple Notes
Can an algorithm understand what
you were writing?
Apple Notes
Apple - Natural Language API
Google Quick Draw
Can an algorithm understand what
you were drawing?
Google Quick Draw
Google Quick Draw
Google Quick Draw
Google AutoDraw
Can an algorithm even help to teach
you drawing?
Google AutoDraw
Google AutoDraw
pix2pix
Can an algorithm turn your drawings
into compositions?
pix2pix
pix2pix
pix2pix
pix2pix
Philli
p
Leoni
e
Tobi
Drawing music
Can an algorithm turn your drawings
into music?
Drawing music
IT DOESN’T STOP
HERE
Lyrebird
Can an algorithm create realistic
voice overs from a given person?
Lyrebird
University of Washington
Can an algorithm create realistic
video from audio files alone?
University of Washington
pix2code
Can an algorithm program a user
interface from any given layout?
pix2code
pix2code
Style Transfer
Can an algorithm re-create complex
aesthetics and even fine art?
Style Transfer
Style Transfer
Style Transfer
Style Transfer
Style Transfer
Style Transfer
Style Transfer
Adobe Research
ING / Microsoft
ING / Microsoft
ING / Microsoft
Creative Adversarial Networks
Can an algorithm invent new styles
on its own?
Creative Adversarial Networks
Fontjoy
Can an algorithm generate aesthetic
combinations?
Fontjoy
Fontjoy
Can an algorithm generate aesthetic
combinations?
Logo Experiment
Can an algorithm generate logos?
Logo Experiment
Rob Peart tried to
generate Death Metal
logos from Neural
Networks ;)
Darkthrone
Logo Experiment
Waking The Cadaver
Logo Experiment
From the sunset, forest and grief
Logo Experiment
Logo Experiment
Logo Experiment
Logo Experiment
Logo Experiment
Can an algorithm generate logos?
Logo Experiment
NVIDIA - Iray
Can an algorithm squash production
times?
NVIDIA - Iray
NVIDIA - Iray
Autodesk - DreamCatcher
Can an algorithm generate products
that solve complex problems?
Autodesk - DreamCatcher
Autodesk - DreamCatcher
The three structural elements shown are all designed to
carry the same structural loads and forces.
Autodesk - DreamCatcher
A Lightweight bike stem generated by an algorithm
Autodesk - DreamCatcher
This is a car frame that is designed by a generative
algorithm
Autodesk - DreamCatcher
A a lightweight load-bearing engine block
Objectifier
Can an algorithm let objects
respond to human gestures?
Objectifier
Objectifier
Objectifier
WHAT IS
NEXT?
© Lawrence Lek© Lawrence Lek
Artificial Narrow Intelligence
Artificial General Intelligence
Artificial Superintelligence
Open AI - UNIVERSE
WHAT ARE
CHALLENGES
FOR UX?
© Lawrence Lek
MACHINE LEARNING
WON’T REACH ITS POTENTIAL
IF IT DOESN’T DEVELOP
IN TANDEM WITH
USER EXPERIENCE DESIGN
Caroline Sinders, Fast Company
Develop relevant use cases
Spotify
© Fabien Girardin
Spotify
© Fabien Girardin
MACHINE LEARNING
WILL CHANGE
CUSTOMER PERSONAS
FOREVER
Andre Smith, Digitalist Magazine / SAP
Re-think customer personas
Create intuitive AI interfaces
Make tons of data manageable
Use data to be super-relevant
or be silent
Let users tell about poor
information
• Filter Bubble - Tweak
algorithms to be less accurate
• Profile Detox - Let an open
door to reshape profiles
• Human Computation - Enlist
humans to give more diversity
© Fabien Girardin
Design for discovery
EVERY TIME
I CHECK MY PHONE,
I’M PLAYING
THE SLOT MACHINE
Tristan Harris, a former Google product manager
Design for engagement responsibly
Empathy is not (yet) available
Questions are the new answers
© Jan Korsanke
Illustrate for transparency
Seamful design
Machine bias: AI can lead to
discrimination
ULTIMATELY,
DESIGNERS MUST ACT
AS A BULWARK
AGAINST IRRESPONSIBLE,
UNETHICAL USE OF AI
Katharine Schwab, Fast Company
Satya Nadella, Microsoft CEO
• AI must be designed to assist humanity
• AI must be transparent
• AI must maximize efficiencies without
destroying the dignity of people
• AI must be designed for intelligent privacy
• AI must have algorithmic accountability
• AI must guard against bias
LET’S MAKE
DIGITAL SUCK LESS
@kuttin3dge
hotline@krunchtime.org
krunchtime.org
THANK YOU

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