Coming soon

1. Designing for
Artificial Intelligence
An Introduction
Avissar Tim Alex | UX Strat Europe 2019.

2. Pleased to meet
you…

3. Artificial
Intelligence
A way of making a computer,
a robot, or a software think
intelligently, in the similar
manner the intelligent humans
think.

4. It’s not about
human vs
the machine

5. It’s about achieving more,
together
Photo by Andy Kelly on Unsplash

6. A subset of AI in which
computer programs
and algorithms can be
designed to “learn”
how to complete a
specified task
Machine
Learning
The ability of computers
to understand, or
process natural human
languages and derive
meaning from them
Natural
Language
Processing
Terminology
Deep
Learning
A subset of AI and ML in
which Neural networks
are “layered”, to create
extremely powerful
learning models
Neural
Networks
A set of algorithms,
modeled loosely after
the human brain, that are
designed to recognize
patterns
I. Artificial Intelligence Terminologies – Richaldo Elias. https://medium.com/machine-learning-world/artificial-intelligence-terminologies-260f1d6d299f

7. I. Honda retires it’s famed Asimo robot – The Verge, Jun 28, 2018. https://www.theverge.com/2018/6/28/17514134/honda-asimo-humanoid-robot-retire
Artificial
Superintelligence
Artificial General
Intelligence
Artificial Narrow
Intelligence

8. A Brief History of AI
11 May 1997
Deep Blue beats
a reigning world chess
champion
1950
Alan Turing proposes
the ‘Turing Test’ and
Isaac Asimov published
‘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 first chess playing
automaton,
the El Ajedrecista
1941
Konrad Zuse built
the world’s first
programmable computer
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
AI Winter

9. “Artificial intelligence could boost the global economy
as much as the steam engine did during the
industrial revolution”
I. Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute, Spetember 2018.
https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-AI-frontier-modeling-the-impact-of-ai-on-the-world-economy Photo by Deleece Cook on Unsplash

10. Private Equity Investment in Artificial Intelligence
I. Private Equity Investment in Artificial Intelligence. OECD, September 2018. http://www.oecd.org/going-digital/ai/private-equity-investment-in-artificial-intelligence.pdf

11. AI will add an
extra $13tr to
global economic
activity by 2030.
I. Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute, Spetember 2018.
https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-AI-frontier-modeling-the-impact-of-ai-on-the-world-economy
Frontrunners are
expected to grow 120%
Non-adapters might
experience a 20% decline

12. AI:NI
A delicate balance
Photo by Takanobu Kishi, Sony.
Why
Designers?

13. AI has a bias problem
Photo by Art Streiber, Wired. April 2016.

14. I. AI has a bias problem. This is how we can solve it. World Economic Forum, January 2019. https://www.weforum.org/agenda/2019/01/to-eliminate-human-bias-from-ai-we-need-to-rethink-our-approach/
II. This is how AI bias really happens – and why it’s so hard to fix. MIT Technology Review, February 2019. https://www.technologyreview.com/s/612876/this-is-how-ai-bias-really-happensand-why-its-so-
hard-to-fix/
Framing the Problem
Decisions are made for various business reasons other than fairness or discrimination
Collecting the Data
Either the data you collect is unrepresentative of reality, or it reflects existing prejudices.
Preparing the Data
Selecting which attributes you want the algorithm to consider.

16. Tay went from “humans are super cool”
to full Nazi in >24 hours

17. The Uncanny Valley
Hanson Robotics

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.