TXO & Komfo - AI: The good, the bad, and the ugly of AI
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Transcript of TXO & Komfo - AI: The good, the bad, and the ugly of AI
ARTIFICIAL INTELLIGENCE
A BRIEF OVERVIEW —
THE GOOD, THE BAD & THE UGLY
GRIMUR FJELDSTEDCHIEF DIGITAL OFFICER
@GFjeldsted
Who am I?
CHIEF DIGITAL OFFICER
FOUNDER
ADVISOR
TRANSFORM XO
Corporate Transformation, Digitalisation & Innovation Management
Agenda1. 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 AIKasparov vs. Deep Blue
Strong AIIBM Watson, Google DeepMind
Machine LearningMachine 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 LearningDE3p Larenn1g mhica3ns wrok smliair to hOw biarns wrok.
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 IntelligenceDeepMind by Google
ReasoningAmazon Transactional AI
ReasoningNetflix
ReasoningComputer Games
Civilization 1, 1991 International Soccer, 1988
ReasoningComputer Games
The Sims 4, 2014 EA
FIFA 2018 EA Sports
Problem SolvingIBM Watson, Jeopardy 2011
AlphaGo, 2015
Problem SolvingMaster Card
Problem Solving
PerceptionSelf-driving cars
PerceptionApple 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
TECHNOLOGYMEDIATED
COMMUNICATIONDATA
Source:.Conceptualizing Big Social Data - Olshannikova et al. J Big Data (2017)
DIGITAL HUMANS
Big Social Data integration into social selling1. Visual recognition 2. Personality Insights 3. Promotion 4. Placement 5. Product
Personality insightsAnalysis of myself throughthe 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
MouseChimp
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 HawkingIf 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
transformxo.com
linkedin.com/grimurfjeldsted
Thank YouE:
W:
GRIMUR FJELDSTEDCHIEF DIGITAL OFFICER
ARTIFICIAL INTELLIGENCE
A BRIEF OVERVIEW —
THE GOOD, THE BAD & THE UGLY
