Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
© Lawrence Lek
What is Deep Learning?
© Lawrence Lek
Artificial IntelligenceAI landscape
© Michael Copeland
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
AI landscape
THE TERMS ARTIFICIAL INTELLIGENCE...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Machine Learning
Machine learning is the abili...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Machine Learning
Data mining
Image recognition...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Machine Learning
Notifications
Predictive Keyb...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Machine Learning
Notifications
Predictive Keyb...
Artificial IntelligenceAI landscapeAI landscape
© Narrative Science
E P I C O R C H A P T E R
AI landscape
© Narrative Science
Artificial IntelligenceAI landscape
© cloud-nqb.com
Artificial IntelligenceAI landscape
© Lux Research
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
AI vs Big Data
© Matthew Mayo
Machine Learning...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Deep Learning
Deep Learning is based on Artifi...
Artificial IntelligenceMachine Learning vs Deep Learning
© Rasmus Rothe
„H O W D E E P
L E A R N I N G C H A N G E S
T H E D E S I G N
P R O C E S S
AI HAS BY NOW SUCCEEDED
IN DOING ESSENTIALLY ...
Why it is important?
© Lawrence Lek
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Why it is important?
Possible
Desirable
Profit...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Why it is important?
Google has decided to piv...
Why it is important?
Why it is important?
Mobile Frameworks & libraries
TensorFlow /
TensorFlow Lite
Caffe2Go ML Kit
© Frank Chen
© Frank Chen
© Frank Chen
© Frank Chen
© Frank Chen
What can be done today?
© Lawrence Lek
Image recognition error rate
OBJECT & IMAGE
USE CASES
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Lens
Can an algorithm see what you see ...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Lens
Google Lens turns the camera from ...
Google Lens
Google Lens
Google Search
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Photoeditor SDK
Can an algorithm extract foreg...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Photoeditor SDK
Professional image editing too...
Photoeditor SDK
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Photoeditor SDK
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Adobe - Deep Image Matting
Can an algorithm ex...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Adobe - Deep Image Matting
Previous algorithms...
Adobe - Deep Image Matting
Adobe - Deep Image Matting
Adobe - Deep Image Matting
Adobe - Deep Image Matting
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Entrupy
Can an algorithm help to spot a real
C...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Entrupy
Counterfeits are a painful thorn in th...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Entrupy
Entrupy is a portable scanning device ...
Entrupy
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Research
Can an algorithm understand wh...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Research
360-degree images are fascinat...
Google Research
Google Research
Google Research
Google Research
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
EyeEm - Vision
Can an algorithm learn and sugg...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
EyeEm - Vision
Can a machine learn aesthetics ...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
EyeEm - Vision
What are aesthetics anyway? Is ...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
EyeEm - VisionEyeEm - Vision
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Neural Storyteller
Can an algorithm make up st...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Neural Storyteller
Neural Storyteller is an ar...
Neural Storyteller
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Neural Storyteller
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Neural Storyteller
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Neural Storyteller
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Rapto
Can an algorithm turn your normal day
in...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Rapto
Rapto lets you create music using artifi...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Rapto
FACE RECOGNITION
USE CASES
E P I C O R C H A P T E R
Subtopic or example
New versions of facial recognition technologies use
Deep Learning, as it is ...
Apple - Machine Leraning Kit
Apple - Live Photo Loops
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Allo
Can an algorithm create a Bitmoji ...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Allo
With Google Allo simply snap a sel...
Google Allo
Google Allo
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Nest Cam IQ
Can an algorithm detect strangers?
E P I C O R C H A P T E R
Nest Cam IQ
The Nest Cam IQ can differentiate between friends
and family members, or a stranger....
Nest Cam IQ
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
China & Russia
Can an algorithm register me at...
E P I C O R C H A P T E R
China & Russia
In China, facial recognition technology is already
finding consumer applications....
China & Russia
DRAWING RECOGNITION
USE CASES
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Apple Notes
Can an algorithm understand what y...
Apple Notes
Apple - Natural Language API
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Quick Draw
Can an algorithm understand ...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Quick Draw
Can a neural network learn t...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Quick Draw
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google Quick Draw
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google AutoDraw
Can an algorithm help to teach...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google AutoDraw
AutoDraw’s suggestion tool use...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google AutoDraw
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Google AutoDraw
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
pix2pix
Can an algorithm take your drawings
to...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
pix2pix
Image-to-image is a Tensorflow port of...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
pix2pix
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
pix2pix
pix2pix
pix2pix
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Drawing music
Can an algorithm take your drawi...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Drawing music
Kene Cogan has built an experime...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Drawing music
MORE (CRAZY)
USE CASES
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Lyrebird
Can an algorithm help to mimic the vo...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Lyrebird
Lyrebird is an API for speech synthes...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Lyrebird
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
pix2code
Can an algorithm program a user inter...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
pix2code
Transforming a graphical user interfa...
pix2code
pix2code
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Style Transfer
Can an algorithm re-create comp...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Style Transfer
In fine art humans have mastere...
Style Transfer
Style Transfer
Style Transfer
Style Transfer
Style Transfer
Style Transfer
Adobe Research
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Creative Adversarial Networks
Can an algorithm...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Creative Adversarial Networks
Researchers modi...
Creative Adversarial Networks
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Fontjoy
Can an algorithm generate font combina...
Fontjoy
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Fontjoy
Can an algorithm generate font combina...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Logo Experiment
Can an algorithm generate logo...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Logo Experiment
Rob Peart tried to generate De...
Darkthrone
Logo Experiment
E P I C O R C H A P T E R
Waking The Cadaver
Logo Experiment
E P I C O R C H A P T E R
From the sunset, forest and grief
Logo Experiment
E P I C O R C H A P T E R
Logo Experiment
E P I C O R C H A P T E R
Logo Experiment
E P I C O R C H A P T E R
Logo Experiment
E P I C O R C H A P T E R
Logo Experiment
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Logo Experiment
Can an algorithm generate logo...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
NVIDIA - Iray
Can an algorithm squash 3D rende...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
NVIDIA - Iray
NVIDIA brings AI to ray tracing ...
NVIDIA - Iray
NVIDIA - Iray
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
Can an algorithm gener...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
Dreamcatcher is a gene...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
The three structural e...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
A Lightweight bike ste...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
This is a car frame th...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Autodesk - DreamCatcher
A a lightweight load-b...
Autodesk - DreamCatcher
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Objectifier
Can an algorithm help objects to r...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Objectifier
Objectifier empowers people to tra...
Objectifier
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Objectifier
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Objectifier
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
What is next?
© Lawrence Lek
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
What’s next?
Computers can now see, hear, and ...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
What’s next?
However the systems we’re buildin...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
What’s next?
However the systems we’re buildin...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Open AI - UNIVERSE
„H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S SMACHINE LEARNING IS GOING TO UPEND YOUR
INDUST...
What are the challenges for UX?
© Lawrence Lek
„H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
MACHINE LEARNING WON’T REACH ITS POTENTIAL
– ...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Develop relevant use cases
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Spotify - Discovery Weekly
Discovery Weekly is...
Spotify - Discovery Weekly
© Fabien Girardin
Spotify - Discovery Weekly
© Fabien Girardin
„H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S SMACHINE LEARNING WILL CHANGE CUSTOMER
PERSONAS...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Re-think customer personas
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Re-think customer personas
T...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Create intuitive AI interfac...
„H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
THE FUTURE OF MACHINE LEARNING
IS COMING UP W...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Make tons of data manageable
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Use data to be super-relevan...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Let users tell about poor in...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Let users tell about poor in...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Design for discovery
• Filte...
„H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S SEVERY TIME I CHECK MY PHONE, I’M PLAYING
THE S...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Design for engagement respon...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Design for engagement respon...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Empathy is not (yet) availab...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Empathy is not (yet) availab...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Questions are the new answer...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Questions are the new answer...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Illustrate for transparency
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Illustrate for transparency
...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Seamful design
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Seamful design
Designers mus...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Machine bias: AI can lead to...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Challenges for UX
Machine bias: AI can lead to...
„H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
ULTIMATELY,
DESIGNERS MUST ACT AS A BULWARK
A...
H O W D E E P L E A R N I N G
C H A N G E S T H E
D E S I G N P R O C E S S
Principles for designing AI responsibly
• AI m...
It’s a wrap!
@KUTTIN3DGE
KRUNCHTIME.ORG
D A N K E 🙏
2017 How Deep Learning Changes the Design Process (Update)
2017 How Deep Learning Changes the Design Process (Update)
2017 How Deep Learning Changes the Design Process (Update)
Upcoming SlideShare
Loading in …5
×

2017 How Deep Learning Changes the Design Process (Update)

1,250 views

Published on

+ Updated version for UX Camp Hamburg #uxcamphh +

Deep learning is a new and exciting subfield of machine learning which attempts to sidestep the whole feature design process. In this session, I'll explain how it derives from AI, why it quietly became a part of user experience and how it will change the actual design workflow. The talk highlights a few examples and doesn't forget to illustrate why user experience design for artificial intelligence matters the other way around.

Published in: Design
  • Hey guys! Who wants to chat with me? More photos with me here 👉 http://www.bit.ly/katekoxx
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here

2017 How Deep Learning Changes the Design Process (Update)

  1. 1. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S © Lawrence Lek
  2. 2. What is Deep Learning? © Lawrence Lek
  3. 3. Artificial IntelligenceAI landscape © Michael Copeland
  4. 4. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S AI landscape THE TERMS ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ARE OFTEN USED INTERCHANGEABLY – YET THEY AREN’T THE SAME
  5. 5. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Machine Learning Machine learning is the ability to learn without being explicitly programmed. Programs that can learn from their own mistakes and improve their performance over time.
  6. 6. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Machine Learning Data mining Image recognition Facebook newsfeed Netflix suggestions Big Data analysis Amazon suggestions Predictive analytics
  7. 7. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Machine Learning Notifications Predictive Keyboards Spam/Quality Control Systems Copywriting Design Patterns Gesture Recognition Content Actions/Feedback Magic Numbers Search Related Content Character Recognition
  8. 8. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Machine Learning Notifications Predictive Keyboards Ranked Feeds Spam/Quality Control Systems Copywriting Design Patterns Gesture Recognition Content Actions/Feedback Magic Numbers Search Related Content Character Recognition © Jan Korsanke
  9. 9. Artificial IntelligenceAI landscapeAI landscape © Narrative Science
  10. 10. E P I C O R C H A P T E R AI landscape © Narrative Science
  11. 11. Artificial IntelligenceAI landscape © cloud-nqb.com
  12. 12. Artificial IntelligenceAI landscape © Lux Research
  13. 13. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S AI vs Big Data © Matthew Mayo Machine Learning Artifical Intelligence Data Mining Data Science Deep Learning Big Data
  14. 14. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S 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.
  15. 15. Artificial IntelligenceMachine Learning vs Deep Learning © Rasmus Rothe
  16. 16. „H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S AI HAS BY NOW SUCCEEDED IN DOING ESSENTIALLY EVERYTHING THAT REQUIRES ‘THINKING’ BUT HAS FAILED TO DO MOST OF WHAT PEOPLE DO ‘WITHOUT THINKING.’ Donald Knuth, Stanford University
  17. 17. Why it is important? © Lawrence Lek
  18. 18. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Why it is important? Possible Desirable Profitable A user experience powered by a system that learns © Fabien Girardin
  19. 19. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Why it is important? Google has decided to pivot its business model from that simple mobile-first toward machine learning.
  20. 20. Why it is important?
  21. 21. Why it is important?
  22. 22. Mobile Frameworks & libraries TensorFlow / TensorFlow Lite Caffe2Go ML Kit
  23. 23. © Frank Chen
  24. 24. © Frank Chen
  25. 25. © Frank Chen
  26. 26. © Frank Chen
  27. 27. © Frank Chen
  28. 28. What can be done today? © Lawrence Lek
  29. 29. Image recognition error rate
  30. 30. OBJECT & IMAGE USE CASES
  31. 31. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google Lens Can an algorithm see what you see and help you take action based on this information?
  32. 32. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google Lens Google Lens turns the camera from a passive tool that’s capturing the world around you to one that’s allowing you to interact with what’s in your camera’s viewfinder.
  33. 33. Google Lens
  34. 34. Google Lens
  35. 35. Google Search
  36. 36. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Photoeditor SDK Can an algorithm extract foreground content from its background?
  37. 37. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Photoeditor SDK Professional image editing tools help you to select distinctive objects, but, they aren’t available on your mobile device, where you take and publish the images, and they usually require some hands-on time, before you can produce anything usable.
  38. 38. Photoeditor SDK
  39. 39. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Photoeditor SDK
  40. 40. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Adobe - Deep Image Matting Can an algorithm extract foreground content from its background – in movies too?
  41. 41. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Adobe - Deep Image Matting Previous algorithms have poor performance when an image has similar foreground and background colors or complicated textures. With neural networks you can extract foreground content from its background intelligently and accurately - in movies. This might kill the green screen.
  42. 42. Adobe - Deep Image Matting
  43. 43. Adobe - Deep Image Matting
  44. 44. Adobe - Deep Image Matting
  45. 45. Adobe - Deep Image Matting
  46. 46. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Entrupy Can an algorithm help to spot a real Chanel bag from a fake?
  47. 47. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Entrupy Counterfeits are a painful thorn in the side of luxury fashion brands but they can be even more of a headache for digital re-sellers. Trying to spot a real Chanel from a fake? Deep Learning tech can help.
  48. 48. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Entrupy Entrupy is a portable scanning device that instantly detects imitation designer bags by taking microscopic pictures that take into account details of the material, processing, workmanship, serial number, and wear/tear. It then employs the technique of deep learning to compare the images against a vast database that includes top luxury brands and if the bag is deemed authentic, users immediately get a Certificate of Authenticity.
  49. 49. Entrupy
  50. 50. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google Research Can an algorithm understand what makes good photography?
  51. 51. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google Research 360-degree images are fascinating to explore but they’re not exactly the best looking photos, often lackluster in color and exposure. Google engineers used Deep learning to teach the machine to understand what makes good photography. They even added automatic fine-tuning of the images: Instead of filters, the AI understands what elements exist in the image and, in turn, tweaks the lighting accordingly.
  52. 52. Google Research
  53. 53. Google Research
  54. 54. Google Research
  55. 55. Google Research
  56. 56. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S EyeEm - Vision Can an algorithm learn and suggest aesthetics in a way an art director would?
  57. 57. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S EyeEm - Vision Can a machine learn aesthetics in a way a human would? Could it then look at a set of photos, and draw on those same aesthetics to reproduce a different set?
  58. 58. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S EyeEm - Vision What are aesthetics anyway? Is it just what you “like”? How does it all work? When you as a human find it hard to express what you like do you think a machine going to find it easy?
  59. 59. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S EyeEm - VisionEyeEm - Vision
  60. 60. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Neural Storyteller Can an algorithm make up stories from any given image?
  61. 61. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Neural Storyteller Neural Storyteller is an artificial intelligence model that when given an image, can generate a story about the image using features in the image.
  62. 62. Neural Storyteller H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S
  63. 63. Neural Storyteller H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S
  64. 64. Neural Storyteller H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S
  65. 65. Neural Storyteller H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S
  66. 66. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Rapto Can an algorithm turn your normal day into a rap song?
  67. 67. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Rapto Rapto lets you create music using artificial intelligence & your camera. Simply point the camera towards any object around you and Rapto will use it's inbuilt neural network to understand the object & create rap music!
  68. 68. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Rapto
  69. 69. FACE RECOGNITION USE CASES
  70. 70. E P I C O R C H A P T E R Subtopic or example New versions of facial recognition technologies use Deep Learning, as it is especially effective for image recognition because it makes a computer zero in on the facial features that will most reliably identify a person.
  71. 71. Apple - Machine Leraning Kit
  72. 72. Apple - Live Photo Loops
  73. 73. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google Allo Can an algorithm create a Bitmoji for you on the fly?
  74. 74. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google Allo With Google Allo simply snap a selfie, and it’ll return an automatically generated illustrated version of you, on the fly.
  75. 75. Google Allo
  76. 76. Google Allo
  77. 77. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Nest Cam IQ Can an algorithm detect strangers?
  78. 78. E P I C O R C H A P T E R Nest Cam IQ The Nest Cam IQ can differentiate between friends and family members, or a stranger. Insights can range from telling you the kids are home from school to sending an alert if an unfamiliar person is in the living room.
  79. 79. Nest Cam IQ
  80. 80. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S China & Russia Can an algorithm register me at events?
  81. 81. E P I C O R C H A P T E R China & Russia In China, facial recognition technology is already finding consumer applications. In Russia, FindFace is an controversial an app used to identify members of a crowd to match them with social network accounts.
  82. 82. China & Russia
  83. 83. DRAWING RECOGNITION USE CASES
  84. 84. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Apple Notes Can an algorithm understand what you are writing?
  85. 85. Apple Notes
  86. 86. Apple - Natural Language API
  87. 87. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google Quick Draw Can an algorithm understand what you are drawing?
  88. 88. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google Quick Draw Can a neural network learn to recognize doodles? Help teach it by adding your drawings to the world’s largest doodle data set.
  89. 89. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google Quick Draw
  90. 90. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google Quick Draw
  91. 91. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google AutoDraw Can an algorithm help to teach you drawing?
  92. 92. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google AutoDraw AutoDraw’s suggestion tool uses the same technology used in QuickDraw, to guess what you’re trying to draw. Right now, it can guess hundreds of drawings and we look forward to adding more over time.
  93. 93. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google AutoDraw
  94. 94. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Google AutoDraw
  95. 95. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S pix2pix Can an algorithm take your drawings to generate images?
  96. 96. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S pix2pix Image-to-image is a Tensorflow port of pix2pix. The pix2pix model works by training on pairs of images such as building facade labels to building facades, and then attempts to generate the corresponding output image from any input image you give it.
  97. 97. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S pix2pix
  98. 98. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S pix2pix
  99. 99. pix2pix
  100. 100. pix2pix
  101. 101. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Drawing music Can an algorithm take your drawings to generate music?
  102. 102. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Drawing music Kene Cogan has built an experiment where a classified musical object triggers an according sound track in Ableton Live.
  103. 103. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Drawing music
  104. 104. MORE (CRAZY) USE CASES
  105. 105. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Lyrebird Can an algorithm help to mimic the voice of a given person?
  106. 106. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Lyrebird Lyrebird is an API for speech synthesis. Record 1 minute from someone's voice and Lyrebird can compress her/his voice's DNA into a unique key.
  107. 107. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Lyrebird
  108. 108. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S pix2code Can an algorithm program a user interface from a given layout?
  109. 109. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S pix2code Transforming a graphical user interface created by a designer into code is a typical task conducted by a developer in order to build software, websites and mobile applications. Deep Learning techniques can be leveraged to automatically generate code given a graphical user interface screenshot as input.
  110. 110. pix2code
  111. 111. pix2code
  112. 112. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Style Transfer Can an algorithm re-create complex aesthetics and even fine art?
  113. 113. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Style Transfer In fine art humans have mastered the skill to create unique visual experiences through composing a complex interplay between content and style. Style Transfer is an artificial system that creates artistic images of high perceptual quality.
  114. 114. Style Transfer
  115. 115. Style Transfer
  116. 116. Style Transfer
  117. 117. Style Transfer
  118. 118. Style Transfer
  119. 119. Style Transfer
  120. 120. Adobe Research
  121. 121. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Creative Adversarial Networks Can an algorithm invent new styles of art?
  122. 122. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Creative Adversarial Networks Researchers modified a type of algorithm in which two neural nets play off against each other to get better and better results. One creates a solution, the other judges it. AIs that can tweak photos to mimic the style of famous painters are already widely available. But the new system is designed to produce original works from scratch.
  123. 123. Creative Adversarial Networks
  124. 124. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Fontjoy Can an algorithm generate font combinations?
  125. 125. Fontjoy
  126. 126. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Fontjoy Can an algorithm generate font combinations?
  127. 127. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Logo Experiment Can an algorithm generate logo artworks?
  128. 128. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Logo Experiment Rob Peart tried to generate Death Metal logos from Neural Networks ;)
  129. 129. Darkthrone Logo Experiment
  130. 130. E P I C O R C H A P T E R Waking The Cadaver Logo Experiment
  131. 131. E P I C O R C H A P T E R From the sunset, forest and grief Logo Experiment
  132. 132. E P I C O R C H A P T E R Logo Experiment
  133. 133. E P I C O R C H A P T E R Logo Experiment
  134. 134. E P I C O R C H A P T E R Logo Experiment
  135. 135. E P I C O R C H A P T E R Logo Experiment
  136. 136. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Logo Experiment Can an algorithm generate logo artworks?
  137. 137. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S NVIDIA - Iray Can an algorithm squash 3D render times?
  138. 138. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S NVIDIA - Iray NVIDIA brings AI to ray tracing to speed graphics workloads. Upload your partially rendered image and AI Renderer renders the rest for you. By predicting final images from only partly finished results, Iray AI produces accurate, photorealistic models without having to wait for the final image to be rendered.
  139. 139. NVIDIA - Iray
  140. 140. NVIDIA - Iray
  141. 141. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Autodesk - DreamCatcher Can an algorithm generate physical products that solve complex problems?
  142. 142. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Autodesk - DreamCatcher Dreamcatcher is a generative CAD system that enables designers to craft a definition of their design problem through goals and constraints.
  143. 143. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Autodesk - DreamCatcher The three structural elements shown are all designed to carry the same structural loads and forces.
  144. 144. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Autodesk - DreamCatcher A Lightweight bike stem generated by an algorithm
  145. 145. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Autodesk - DreamCatcher This is a car frame that is designed by a generative algorithm
  146. 146. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Autodesk - DreamCatcher A a lightweight load-bearing engine block
  147. 147. Autodesk - DreamCatcher
  148. 148. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Objectifier Can an algorithm help objects to respond to human gestures?
  149. 149. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Objectifier Objectifier empowers people to train objects in their daily environment to respond to their unique behaviors. It gives an experience of training an artificial intelligence; much like training a dog - you teach it only what you want it to care about. Just like a dog, it sees and understands its environment.
  150. 150. Objectifier H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S
  151. 151. Objectifier H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S
  152. 152. Objectifier H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S
  153. 153. What is next? © Lawrence Lek
  154. 154. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S What’s next? Computers can now see, hear, and translate languages with unprecedented accuracies. They are also learning to generate images, sound, and text.
  155. 155. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S What’s next? However the systems we’re building still fall into the category of “Narrow AI” — they can achieve super- human performance in a specific domain, but lack the ability to do anything sensible outside of it.
  156. 156. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S What’s next? However the systems we’re building still fall into the category of “Narrow AI” — they can achieve super-human performance in a specific domain, but lack the ability to do anything sensible outside of it. © Jan Korsanke
  157. 157. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Open AI - UNIVERSE
  158. 158. „H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S SMACHINE LEARNING IS GOING TO UPEND YOUR INDUSTRY AND YOUR PRODUCT. Ken Norton, Google Ventures
  159. 159. What are the challenges for UX? © Lawrence Lek
  160. 160. „H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S MACHINE LEARNING WON’T REACH ITS POTENTIAL – AND MAY ACTUALLY CAUSE HARM – IF IT DOESN’T DEVELOP IN TANDEM WITH USER EXPERIENCE DESIGN. Caroline Sinders, Fast Company
  161. 161. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Develop relevant use cases
  162. 162. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Spotify - Discovery Weekly Discovery Weekly is an automated music recommendation digest for each Spotify user every monday. It uses a feedback loop mechanism to personalize, optimize or automate the existing service.
  163. 163. Spotify - Discovery Weekly © Fabien Girardin
  164. 164. Spotify - Discovery Weekly © Fabien Girardin
  165. 165. „H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S SMACHINE LEARNING WILL CHANGE CUSTOMER PERSONAS FOREVER Andre Smith, Digitalist Magazine / SAP
  166. 166. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Re-think customer personas
  167. 167. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Re-think customer personas Thanks to machine learning, computers will soon know your customers better than your customers know themselves. • They’re much better at „guesswork“ than humans are • More efficient targeting of new customers • More cost-effective
  168. 168. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Create intuitive AI interfaces
  169. 169. „H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S THE FUTURE OF MACHINE LEARNING IS COMING UP WITH A HYBRID LANGUAGE THAT BRIDGES DESIGN AND ENGINEERING. Caroline Sinders, Fast Company
  170. 170. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Make tons of data manageable
  171. 171. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Use data to be super-relevant or be silent
  172. 172. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Let users tell about poor information
  173. 173. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Let users tell about poor information For example in banking, one could consider the temporal evolution of account balances to segment savings behaviors. This type of algorithms that leads to decision-making needs to learn to be more precise. It’s the designer’s job to find ways to let users tell implicitly or explicitly about poor information.
  174. 174. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Design for discovery • 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
  175. 175. „H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S SEVERY TIME I CHECK MY PHONE, I’M PLAYING THE SLOT MACHINE Tristan Harris, a former Google product manager
  176. 176. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Design for engagement responsibly
  177. 177. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Design for engagement responsibly Today, algorithms typically score the relevance of social and news content. Major online services are fighting to hook people, grab their attention for as long as possible. Their business is to keep users active as long and frequently as possible on their platforms. They use techniques that promote addiction = hooking people endlessly searching for the next reward. That new power raises the need for new design principles in the age of machine learning.
  178. 178. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Empathy is not (yet) available
  179. 179. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Empathy is not (yet) available The ethical and practical considerations of machine learning have to be shaped by how products using machine learning affect users and how users can understand and see those effects.
  180. 180. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Questions are the new answers © Jan Korsanke
  181. 181. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Questions are the new answers In future computers won’t deliver answers before asking you back (a string of) questions. But what are rules and etiquette for machines? © Jan Korsanke
  182. 182. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Illustrate for transparency
  183. 183. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Illustrate for transparency When users don’t understand how an algorithm gets its results, it can be difficult to trust the system. Transparency communicates trust.
  184. 184. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Seamful design
  185. 185. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Seamful design Designers must know that a „Prediction Feature“ is not the same as informing, and consider how well such a prediction could support a user action.
  186. 186. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Machine bias: AI can lead to discrimination
  187. 187. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Challenges for UX Machine bias: AI can lead to discrimination Most of the current facial recognition techniques use the same data set, which was trained on mainly white people. It would not recognise people with other skintones.
  188. 188. „H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S ULTIMATELY, DESIGNERS MUST ACT AS A BULWARK AGAINST IRRESPONSIBLE, UNETHICAL USE OF AI. Katharine Schwab, Fast Company
  189. 189. H O W D E E P L E A R N I N G C H A N G E S T H E D E S I G N P R O C E S S Principles for designing AI responsibly • 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 Satya Nadella, Microsoft CEO
  190. 190. It’s a wrap!
  191. 191. @KUTTIN3DGE KRUNCHTIME.ORG D A N K E 🙏

×