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ARTIFICIAL
INTELLIGENCE
A BRIEF OVERVIEW
—
THE GOOD, THE BAD & THE UGLY
GRIMUR FJELDSTED
CHIEF DIGITAL OFFICER
@GFjeldsted
Who am I?
CHIEF DIGITAL OFFICER
FOUNDER
ADVISOR
TRANSFORM XO
Corporate Transformation, Digitalisation & Innovation Management
Agenda
1. Brief Definition of Artificial Intelligence (AI)
2. Examples of AI
3. Future Outlook
Spare Ribs
Introduction
Artificial Intelligence is the
attempt to remove the
boundaries between
humans and machines
Weak/narrow AI
Kasparov vs. Deep Blue
Strong AI
IBM Watson, Google DeepMind
Machine Learning
Machine learning is a type of AI that provides
machines with the ability to learn without being
explicitly programmed - the ultimate goal is to
develop its own dynamics.
https://youtu.be/rVlhMGQgDkY
Deep Learning
DE3p Larenn1g mhica3ns wrok smliair to hOw biarns
wrok.
Deep Learning
Atari Breakout https://youtu.be/TmPfTpjtdgg
AI is hungry - how is it
fed?
Big data
What defines an
intelligent system?
1. Recognition of patterns: 

Objects in camera recordings/images, facial
recognition, language.
2. Prognosis: 

Anticipation and prediction that often turn in
recommendations.
Intelligence (simplified)
General Intelligence - learning that enables the learner to
be able to perform better in situations not previously
encountered
Reasoning - to draw conclusions based on the situation at
hand.
Problem Solving - find X, if given a certain starting point or
challenge.
Perception - analysing a scanned environment, features
and relationships between objects.
Language Understanding - by following syntax and similar
rules used by humans
General Intelligence
DeepMind by Google
Reasoning
Amazon Transactional AI
Reasoning
Netflix
Reasoning
Computer Games
Civilization 1, 1991 International Soccer, 1988
Reasoning
Computer Games
The Sims 4, 2014
EA
FIFA 2018
EA Sports
Problem Solving
IBM Watson, Jeopardy 2011
AlphaGo, 2015
Problem Solving
Master Card
Problem Solving
Perception
Self-driving cars
Perception
Apple Iphone X + Face ID
Language
Understanding
Amy - x.ai
Language
Understanding
Amazon Echo
Gone wrong!
https://youtu.be/r5p0gqCIEa8
Two cases of the
Donald
“Tonight, data died!”
— Mike Murphy, Republican strategist
Cambridge Analytica
Big Social Data
DIGITAL 

RELATIONSHIP 

DATA
DIGITAL 

SELF-

REPRESENTATION 

DATA
TECHNOLOGY

MEDIATED

COMMUNICATION

DATA
Source:.Conceptualizing Big Social Data - Olshannikova et al. J Big Data (2017)
DIGITAL 

HUMANS
Big Social Data integration
into social selling
1. Visual recognition
2. Personality Insights
3. Promotion
4. Placement
5. Product
Visual recognition
Let’s take it for a spin: http://www.8bit.ai/
Personality insights
Analysis of myself through

the communication on my
Twitter profile:
Promotion, placement
& product
• What sorts of materials and profiles are my competitors introducing?
• What styles are getting the most markdowns right now?
• Which size and material combinations are selling out?
• Are there particular design attributes like a pocket or length of sleeve that
are driving sell-through?
Future Outlook
HBO Westworld
Future Outlook
HBO Westworldhttps://youtu.be/MhSG5ZFX8Mg
China building “smart
society”!
Black Mirror!
Future Outlook
Ray Kurzweil
1980’s - Snake Oil
Future Outlook
Human Performance
Artificial Intelligence
Mouse
Chimp
Genius
WTF?
Disappointment
Cave Man
Chaos/Amazement
Future Predictions
2027
The first AI starts in the
board of a corporation.
Answer
2014
Future Predictions
2034
Artificial Intelligences claim
to be conscious and openly
petition for recognition of
this fact
Future Predictions
2046
AI surpasses human beings
as the smartest and most
capable life forms on the
planet.
“The future is already here - it’s just not evenly distributed”
— William Gibson
Let’s wait and see…
Vanity Fair

March 26, 2017
But when?
Steve Hawking
If a superior alien civilisation would send us a
message:
“We will arrive in a few decades”
Would our reaction be:
“OK - let us know, we will leave the lights on”
This is how we treat AI
“TO IGNORE OR UNDERESTIMATE THE RISKS OF AI - WOULD BE THE BIGGEST
MISTAKE IN THE HISTORY OF MANKIND”
Scenario: A Centralised
Cybernetic World Society
1. Gather as much data about everyone
2. Secure that data is captured randomly everywhere
3. Control people:
• through manipulation of their decisions
• through punishment mechanism
• through rewarding mechanism
“I don’t want to live in a world, where
someone else makes the world a
better place than we do”
HBO, Silicon Valley
@gfjeldsted
grimur@transformxo.com
transformxo.com
linkedin.com/grimurfjeldsted
Thank You
E:
W:
GRIMUR FJELDSTED
CHIEF DIGITAL OFFICER
ARTIFICIAL
INTELLIGENCE
A BRIEF OVERVIEW
—
THE GOOD, THE BAD & THE UGLY

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