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1P a g e
HUMANS & MACHINES
BEING HUMAN IN THE AGE OF AI
2P a g e
3P a g e
4P a g e
SOLVING INTELLIGENCE IS ___
______
____ _________ _________ _____
________
_____!
5P a g e
SOLVING INTELLIGENCE IS THE
SINGLE
MOST IMOPRTANT CHALLENGE
FACING HUMANITY
TODAY!
6P a g e
PRODUCTION DOUBLED EVERY SEVERAL THOUSAND YEARS
Time to double GDP
Valueofoutput
Pleistocene Era
220,000 years
Paleolithic
Era
7P a g e
Paleolithic
Era
Time to double GDP
Valueofoutput
Agricultural
Revolution
Agricultural Revolution
909 years
PRODUCTION DOUBLED EVERY HUNDRED YEARS
8P a g e
Paleolithic
Era
Time to double GDP
Valueofoutput
Agricultural
Revolution
INDUSTRIAL
REVOLUTION
Industrial Revolution
7 years
PRODUCTION DOUBLED EVERY HUMAN LIFETIME
9P a g e
Paleolithic
Era
Time to double GDP
Valueofoutput
Agricultural
Revolution
INDUSTRIAL
REVOLUTION
Intelligence
Revolution
PRODUCTION DOUBLES EVERY WEEK!
10P a g e
HOW FAR HAVE WE COME?
AI is born in 1956
based on the belief
that learning
can be described
mathematically
Neural network
theory develops.
Researchers begin
trying to emulate
the working of a
brain
Personal
Computers and
Smartphone
adoption explodes
giving researchers
data
Deep mind creates
AlphaGo and the
media recognizes
machines for
demonstrating
original ideas
1956 1961 1990 2016
11P a g e
Google, IBM, Alibaba, Amazon, Apple are all big
players in the AI race
FOR PROFIT BUSINESSES
Millennials are solving intelligence and saving the
planet
THE YOUTH!
Universities are increasingly producing statisticians
and computer engineers focused on ML
UNIVERSITIES
The machine learning community is diverse and
open to everyone.
PASSIONATE COMPUTER GEEKS
Millennials
PHDs
Governments
Companies
WHO IS WORKING ON IT?
12P a g e
WHAT IS INTELLIGENCE?
Probability of an action
being successful
DECISION MAKING
Understanding where
you went wrong and
adapting
CAPACITY TO LEARN
Memory
Perception
Attention
Reasoning
COGNITIVE PROCESS
Understanding an
abstract environment
and making sense of it to
achieve a goal
PROBLEM SOLVING
13P a g e
The creation of non organic, sentient objects.
AT A PHILOSPHICAL LEVEL
Machines which work and react like humans. Machines that can
see, hear, speak, move and take actions.
AT A COMPUTER SCIENCE LEVEL
An opportunity to advance beyond our physical
limitations as homo sapiens.
AT A PRACTICAL LEVEL
WHAT IS ARTFICIAL INTELLIGENCE?
14P a g e
Our interpersonal skills and relationships are already changing. Your social media feed is
governed by AI
PERSONAL
Our ability to manipulate our biology is enhanced through AI
BIOLOGICAL
The skills we require at work are changing
PROFESSIONAL
EVERYTHING IS CHANGING
More time ‘is available for thinking, strategy, problem solving and change
HUMANITY
15P a g e
Producing food,
forecasting demand
and auditing distribution
through India to
impoverished families.
AI FOR
GOOD
2bn Meals
Anti money laundering AI
is 60% more effective at
identifying financial
crime than traditional
methods.
ANTI MONEY
LAUNDERING
60%
10% of global food
production produced
through vertical farming,
reducing transportation
and wastage.
VERTICAL
FARMING
180m Tonnes
Predicting and modelling
epidemic outbreaks
allows us to contain
disease spread like
Ebola.
EPIDEMIC
OUTBREAK
11,315 Deaths
FOR THE GREATER GOOD!
16P a g e
VERTICAL FARMS
Indoor farms which are not subject to change in
weather and have controlled conditions.
YEAR ROUND CROP PRODUCTION
More efficient than traditional farms, less fossil fuel
consumption, better use of water and nutrients.
CLEANER FOR THE PLANET
Can be located in or next to large cities.
SUSTAINABLE FOR URBAN CENTRES
Y O U R H E A D L I N E
YOUR LOGO
17P a g e
PREDICTING
POVERTY
Over 1bn people are living in poverty across
the world (less than $2 per day)!
Stanford University are using satellite imagery to
quantify poverty all over the world and create an
index for tracking wealth at the village level.
This method will helps aid organizations to distribute
funds more efficiently, to those most in need.
18P a g e
ENERGY
DISTRIBUTION
IOT allows Gridhound to measure actual electricity
usage and predict when to send energy to each
unique household.
This proactive distribution management solution
dramatically reduces energy consumption per
capita.
19P a g e
PEOPLE
TRACFFICKING
Inferring personality based on a facial image and
body language only to profile people and flag high
risk individuals at border crossings in real time.
More efficient focusing of security personnel.
20P a g e
ARTIFICIAL INTELLIGENCE
SOFTWARE
Software is the thinking that occurs inside the brain.
We use tools like python to code software
Calculating the probability that an event is or is not
true and a confidence interval for that prediction.
CODE WRITTEN TO DO MATHS
Cleaner code allows us to process data faster and
consequently improve results
RAPID DATA PROCESSING
21P a g e
ARTIFICIAL INTELLIGENCE
HARDWARE
Hardware is a mix of sensors, circuit boards, scanners
quantum computers, and motors to eventually
create…something
Computer hardware increases processing power by
double every 18 months (moore’s law) except when it
doesn’t
COMPUTER HARDWARE
The most advanced bipedal robot in the world to
date is Atlas, created by Boston Dynamics
ROBOTICS
22P a g e
What can the judicial system do to
keep pace with the changes which
we are living through?
04
LAW
When cars are fully autonomous
who owns them?
03
OWNERSHIP
SELF DRIVING
CARS
Increased usage of sensors and
cameras puts your privacy at risk
02
PRIVACY
Who is responsible for the safety of
the passengers
01
SAFETY
23P a g e
THE END OF
INDIVIDUAL OWNERSHIP
Will the self driving car signal the beginning of the end for the era of individual ownership?
24P a g e
What sacrifices are we willing to make in order to bring this new
era to life?
PRIVACY &
PERSONAL
DATA
25P a g e
The man versus machine narrative which is popularized by the media and Hollywood is wild. In fact we’re already living in a
world augmented by AI
26P a g e
HUMAN ONLY MACHINE ONLY
HUMANS
COMPLIMENT
MACHINES
MACHINES GIVE
HUMANS SUPER
POWERS
The missing middle
27P a g e
Directly manage customers on
basic requests while flagging
more complicated issues to
people
Customer Engagement
Predicting optimal bidding
patterns for review by a person to
authorize
Bidding
Augment our capacity for energy
saving by identifying and
redirecting energy consumption
Energy Savings
Understand more about
personality without being trained
in psychology to make better
human capital decisions
Psychometrics
Protect your assets with
biometrics and behaviours
specific to you
Security
Using machines to forecast
demand and people to
implement strategy
Demand Planning
IDEAS IN THE MIDDLE
28P a g e
LACK OF PROCESSING
POWER AND THE
ABSENCE OF
CONNECTED DEVICES
MEANT HUMANS
HAD TO PERFORM
MENIAL JOBS
2.
SO WHAT DOES BEING
HUMAN MEAN WHEN
MACHINES CAN THINK
FASTER THAN
HUMANS WITH BETTER
RECALL AND MORE
KNOWLEDGE?
4.
OVER THE LAST
30 YEARS WE HAVE
BEEN TRAINING
HUMANS TO BE MORE
ROBOTIC
1.
SOME TASKS ARE
INHERENTLY HUMAN
BUT WE LOST SIGHT
OF THAT BECAUSE WE
WERE SO
ETHUSIASTIC TO
ADOPT TECHNOLOGY
3.
BECOMING MORE HUMAN
29P a g e
Our ability to develop strategies that give us a
competitive advantage
STRATEGY
Our ability to worry about the present and future
mixed with concern for fellow human beings
WORRY
Our ability to relate to one another and have
compassion.
EMPATHY
Our ability to think abstractly and creatively
CREATIVITY
BECOMING MORE HUMAN
EMPATHY
STRATEGY
CREATIVITY
WORRY
30P a g e
C O M P A S S I O N N E E D E D
C R E A T I V I T Y O R S T R A T E G YO P T I M I S A T I O N
C O M P A S S I O N N O T N E E D E D
w e d d i n g p l a n n e r
e l d e r l y c a r e t a k e r
b e a u t y c o n s u l t a n t
r e m o t e t u t o r
t o u r g u i d e
h o m e s c h o o l t e a c h e r
t e a c h e r
c r i s i s h o t l i n e v o l u n t e e r
e l d e r l y c o m p a n i o n c o n c i e r g e
s o c i a l w o r k e r
c u s t o m e r s u p p o r t
t e l e - s a l e s
d i s h w a s h e r t r u c k d r i v e r
h e m a t o l o g i s t
s e c u r i t y g u a r d
r a d i o l o g i s t
r e s e a r c h a n a l y s t
e c o n o m i s t
c o l u m n i s t
s c i e n t i s t
a r t i s t
P R / m a r k e t i n g d i r e c t o r
M & A e x p e r t
C E O
WHERE COULD WE GO?
31P a g e
print(“THANK YOU”)
harvey@searchie.me

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Humans and machines being human in the age of ai

  • 1. 1P a g e HUMANS & MACHINES BEING HUMAN IN THE AGE OF AI
  • 2. 2P a g e
  • 3. 3P a g e
  • 4. 4P a g e SOLVING INTELLIGENCE IS ___ ______ ____ _________ _________ _____ ________ _____!
  • 5. 5P a g e SOLVING INTELLIGENCE IS THE SINGLE MOST IMOPRTANT CHALLENGE FACING HUMANITY TODAY!
  • 6. 6P a g e PRODUCTION DOUBLED EVERY SEVERAL THOUSAND YEARS Time to double GDP Valueofoutput Pleistocene Era 220,000 years Paleolithic Era
  • 7. 7P a g e Paleolithic Era Time to double GDP Valueofoutput Agricultural Revolution Agricultural Revolution 909 years PRODUCTION DOUBLED EVERY HUNDRED YEARS
  • 8. 8P a g e Paleolithic Era Time to double GDP Valueofoutput Agricultural Revolution INDUSTRIAL REVOLUTION Industrial Revolution 7 years PRODUCTION DOUBLED EVERY HUMAN LIFETIME
  • 9. 9P a g e Paleolithic Era Time to double GDP Valueofoutput Agricultural Revolution INDUSTRIAL REVOLUTION Intelligence Revolution PRODUCTION DOUBLES EVERY WEEK!
  • 10. 10P a g e HOW FAR HAVE WE COME? AI is born in 1956 based on the belief that learning can be described mathematically Neural network theory develops. Researchers begin trying to emulate the working of a brain Personal Computers and Smartphone adoption explodes giving researchers data Deep mind creates AlphaGo and the media recognizes machines for demonstrating original ideas 1956 1961 1990 2016
  • 11. 11P a g e Google, IBM, Alibaba, Amazon, Apple are all big players in the AI race FOR PROFIT BUSINESSES Millennials are solving intelligence and saving the planet THE YOUTH! Universities are increasingly producing statisticians and computer engineers focused on ML UNIVERSITIES The machine learning community is diverse and open to everyone. PASSIONATE COMPUTER GEEKS Millennials PHDs Governments Companies WHO IS WORKING ON IT?
  • 12. 12P a g e WHAT IS INTELLIGENCE? Probability of an action being successful DECISION MAKING Understanding where you went wrong and adapting CAPACITY TO LEARN Memory Perception Attention Reasoning COGNITIVE PROCESS Understanding an abstract environment and making sense of it to achieve a goal PROBLEM SOLVING
  • 13. 13P a g e The creation of non organic, sentient objects. AT A PHILOSPHICAL LEVEL Machines which work and react like humans. Machines that can see, hear, speak, move and take actions. AT A COMPUTER SCIENCE LEVEL An opportunity to advance beyond our physical limitations as homo sapiens. AT A PRACTICAL LEVEL WHAT IS ARTFICIAL INTELLIGENCE?
  • 14. 14P a g e Our interpersonal skills and relationships are already changing. Your social media feed is governed by AI PERSONAL Our ability to manipulate our biology is enhanced through AI BIOLOGICAL The skills we require at work are changing PROFESSIONAL EVERYTHING IS CHANGING More time ‘is available for thinking, strategy, problem solving and change HUMANITY
  • 15. 15P a g e Producing food, forecasting demand and auditing distribution through India to impoverished families. AI FOR GOOD 2bn Meals Anti money laundering AI is 60% more effective at identifying financial crime than traditional methods. ANTI MONEY LAUNDERING 60% 10% of global food production produced through vertical farming, reducing transportation and wastage. VERTICAL FARMING 180m Tonnes Predicting and modelling epidemic outbreaks allows us to contain disease spread like Ebola. EPIDEMIC OUTBREAK 11,315 Deaths FOR THE GREATER GOOD!
  • 16. 16P a g e VERTICAL FARMS Indoor farms which are not subject to change in weather and have controlled conditions. YEAR ROUND CROP PRODUCTION More efficient than traditional farms, less fossil fuel consumption, better use of water and nutrients. CLEANER FOR THE PLANET Can be located in or next to large cities. SUSTAINABLE FOR URBAN CENTRES Y O U R H E A D L I N E YOUR LOGO
  • 17. 17P a g e PREDICTING POVERTY Over 1bn people are living in poverty across the world (less than $2 per day)! Stanford University are using satellite imagery to quantify poverty all over the world and create an index for tracking wealth at the village level. This method will helps aid organizations to distribute funds more efficiently, to those most in need.
  • 18. 18P a g e ENERGY DISTRIBUTION IOT allows Gridhound to measure actual electricity usage and predict when to send energy to each unique household. This proactive distribution management solution dramatically reduces energy consumption per capita.
  • 19. 19P a g e PEOPLE TRACFFICKING Inferring personality based on a facial image and body language only to profile people and flag high risk individuals at border crossings in real time. More efficient focusing of security personnel.
  • 20. 20P a g e ARTIFICIAL INTELLIGENCE SOFTWARE Software is the thinking that occurs inside the brain. We use tools like python to code software Calculating the probability that an event is or is not true and a confidence interval for that prediction. CODE WRITTEN TO DO MATHS Cleaner code allows us to process data faster and consequently improve results RAPID DATA PROCESSING
  • 21. 21P a g e ARTIFICIAL INTELLIGENCE HARDWARE Hardware is a mix of sensors, circuit boards, scanners quantum computers, and motors to eventually create…something Computer hardware increases processing power by double every 18 months (moore’s law) except when it doesn’t COMPUTER HARDWARE The most advanced bipedal robot in the world to date is Atlas, created by Boston Dynamics ROBOTICS
  • 22. 22P a g e What can the judicial system do to keep pace with the changes which we are living through? 04 LAW When cars are fully autonomous who owns them? 03 OWNERSHIP SELF DRIVING CARS Increased usage of sensors and cameras puts your privacy at risk 02 PRIVACY Who is responsible for the safety of the passengers 01 SAFETY
  • 23. 23P a g e THE END OF INDIVIDUAL OWNERSHIP Will the self driving car signal the beginning of the end for the era of individual ownership?
  • 24. 24P a g e What sacrifices are we willing to make in order to bring this new era to life? PRIVACY & PERSONAL DATA
  • 25. 25P a g e The man versus machine narrative which is popularized by the media and Hollywood is wild. In fact we’re already living in a world augmented by AI
  • 26. 26P a g e HUMAN ONLY MACHINE ONLY HUMANS COMPLIMENT MACHINES MACHINES GIVE HUMANS SUPER POWERS The missing middle
  • 27. 27P a g e Directly manage customers on basic requests while flagging more complicated issues to people Customer Engagement Predicting optimal bidding patterns for review by a person to authorize Bidding Augment our capacity for energy saving by identifying and redirecting energy consumption Energy Savings Understand more about personality without being trained in psychology to make better human capital decisions Psychometrics Protect your assets with biometrics and behaviours specific to you Security Using machines to forecast demand and people to implement strategy Demand Planning IDEAS IN THE MIDDLE
  • 28. 28P a g e LACK OF PROCESSING POWER AND THE ABSENCE OF CONNECTED DEVICES MEANT HUMANS HAD TO PERFORM MENIAL JOBS 2. SO WHAT DOES BEING HUMAN MEAN WHEN MACHINES CAN THINK FASTER THAN HUMANS WITH BETTER RECALL AND MORE KNOWLEDGE? 4. OVER THE LAST 30 YEARS WE HAVE BEEN TRAINING HUMANS TO BE MORE ROBOTIC 1. SOME TASKS ARE INHERENTLY HUMAN BUT WE LOST SIGHT OF THAT BECAUSE WE WERE SO ETHUSIASTIC TO ADOPT TECHNOLOGY 3. BECOMING MORE HUMAN
  • 29. 29P a g e Our ability to develop strategies that give us a competitive advantage STRATEGY Our ability to worry about the present and future mixed with concern for fellow human beings WORRY Our ability to relate to one another and have compassion. EMPATHY Our ability to think abstractly and creatively CREATIVITY BECOMING MORE HUMAN EMPATHY STRATEGY CREATIVITY WORRY
  • 30. 30P a g e C O M P A S S I O N N E E D E D C R E A T I V I T Y O R S T R A T E G YO P T I M I S A T I O N C O M P A S S I O N N O T N E E D E D w e d d i n g p l a n n e r e l d e r l y c a r e t a k e r b e a u t y c o n s u l t a n t r e m o t e t u t o r t o u r g u i d e h o m e s c h o o l t e a c h e r t e a c h e r c r i s i s h o t l i n e v o l u n t e e r e l d e r l y c o m p a n i o n c o n c i e r g e s o c i a l w o r k e r c u s t o m e r s u p p o r t t e l e - s a l e s d i s h w a s h e r t r u c k d r i v e r h e m a t o l o g i s t s e c u r i t y g u a r d r a d i o l o g i s t r e s e a r c h a n a l y s t e c o n o m i s t c o l u m n i s t s c i e n t i s t a r t i s t P R / m a r k e t i n g d i r e c t o r M & A e x p e r t C E O WHERE COULD WE GO?
  • 31. 31P a g e print(“THANK YOU”) harvey@searchie.me