1. Technology
&
Social
Interac2on
A
ten
years
outlook
on
the
impact
of
technology
on
human
rela2ons
by
Antonio
Addario
2. Let’s
define
Social
Interac2on
first
“Social
interac2on
is
the
mutual
influences
that
individuals
and
groups
have
on
one
another
in
their
aCempts
to
solve
problems
and
in
their
striving
towards
goals.”
-‐
Green
By
Antonio
Addario
3. There
are
five
major
types
of
Social
Interac2on
Coopera'on:
working
together
in
the
pursuit
of
common
interests
or
common
goal
Compe''on:
two
or
more
people
or
groups
oppose
each
other
to
achieve
a
goal
that
only
one
can
aCain
Conflict:
deliberate
aCempt
to
oppose,
resist
or
coerce
the
will
of
another
or
others
Accommoda'on:
resolu2on
of
conflict
by
adjus2ng
oneself
to
the
new
environment
Assimila'on:
the
process
whereby
persons
and
groups
acquire
the
culture
of
the
other
persons
and
groups
in
which
they
come
to
live
By
Antonio
Addario
4. All
types
of
Social
Interac2ons
are
impacted
by
technological
innova2on
We
are
living
in
the
Digital
Revolu2on1,
we
have
plenty
of
examples
of
how
our
lives
have
been
affected
by
technology
Coopera'on
Open
Source,
Crowd
Funding,
Online
Da2ng,
Peer-‐to-‐Peer
Data
Sharing,
Social
Networking,
Mul2lingual
Transla2on
Services
Compe''on
Mul2player
Online
Gaming,
Data
Intelligence,
Analy2cs,
Social
Influence
Ranking,
Online
Reviews
Conflict
Cyber
ACacks,
Cyber
Bulling,
Unmanned
Combat
Vehicles
Accommoda'on
Privacy
Exposure,
Online
Iden2ty
Management,
Digital
Security
Assimila'on
Digital
Alter-‐Ego,
Hyper-‐connec2vity,
Asynchronous
Communica2on,
increased
Transparency
and
Accountability,
Decline
in
interpersonal
physical
rela2ons
1.
hCp://en.wikipedia.org/wiki/Digital_Revolu2on
By
Antonio
Addario
5. unstructured commands and subtle
judgments
judgments
perform knowledge work tasks involving
judgments
unstructured commands and subtle
potential of these technologies to drive economic impact and disruption and do
The Internet of Things
Networks of low-cost sensors and
The Internet of Things
Networks
judgmentsof low-cost sensors and
The Internet of Things
Networks forlow-cost sensors and
actuators of data collection, monitoring,
actuators for data collection, monitoring,
not represent our estimates of the potential economic impact by 2025, which
actuatorsmaking, collection, monitoring,
data
decision forlow-cost process
The Internet of Things
Networks making,and sensors and
decision of
and process
we describe in Exhibit E3 below. These numbers are not exhaustive; they are
decision making, and process
optimization data collection, monitoring,
potential of these technologies to drive economic impact and disruption and do
actuators for
optimization
optimization
indicative and do not represent all possible applications or potential impacts for
decision making, and process
not represent our estimates of the potential economic impact by 2025, which
optimization
each technology.
Cloud technology
Use of computer hardware and software
we describe in Exhibit E3 below. These numbers are not exhaustive; they are
Cloud technology
Use of computer hardware network or
Cloud technology
Use of computer hardware and software
resources delivered over a and software
potential and do technologies all possible applications and disruption and do
indicativeof these not represent to drive economic impactor potential impacts for
resources delivered over a network or
resources delivered a service
the of computer hardware network or
Cloud technology
UseInternet, often as over aand software
not represent our
Exhibit E1
the Internet, often as a service
each technology. estimates of the potential economic impact by 2025, which
the Internet, often as a service
resources delivered over a network or
potential potentially economically disruptive technologies disruption and do
Twelve of in Exhibit E3 below. drive numbers impact and
we describethese technologies toThese economic are not exhaustive; they are
the Internet, often as a service
Advanced robotics
Increasingly capable robots with
not represent our not representthe possible applications or potential impacts for
indicative and do estimates of all potential economic impact by 2025, which
Advanced robotics
Increasingly capable robots with
Exhibit E1
enhanced senses, dexterity, and
Advanced robotics
Increasingly capable robots with
we describe in Exhibit E3Internet These numbers are not exhaustive; and capable
below.
they are
enhanced senses, dexterity, and
each technology. Mobile
Increasingly inexpensive
intelligence capable robots tasks or
Advanced robotics
Increasinglyused to dexterity,with
Twelve potentially economically disruptive technologies
enhanced used automate tasks
intelligencesenses, automateand or
indicative and do not represent all possible applications or potential impacts for
mobile computing devices and Internet
augment humansto
enhanced senses, dexterity, and
intelligence used
augment humans to automate tasks or
connectivity
each technology.
Increasingly
inexpensive
and
capable
Increasingly
capable
intelligence used enhanced
or
robots
humansto automate tasks
augment with
Exhibit E1
Mobile Internet
Increasingly inexpensive and capable
augment humans
mobile
compu2ng
d mobile computing devices and Internet
senses,
dexterity,
and
intelligence
used
to
operate
Twelve potentially economically disruptive evices
and
Internet
technologies
Autonomous and
Vehicles that can navigate and
Autonomous and vehicles
connectivity
near-autonomous asks
or
augment
humans
with reduced can navigate and operate
Automation of knowledge
Intelligent software systems that can
Exhibit E1
connec2vity
automate
t vehicles Vehicles that or no human intervention
near-autonomous
with reduced or no human intervention
work
perform knowledge work tasks involving
Autonomous and
Vehicles that can navigate and operate
Autonomous and
Vehicles that can navigate and operate
Twelve potentially economically disruptive technologies
Mobile Internet
Increasingly inexpensive and subtle
unstructured commands and capable
near-autonomous vehicles
near-autonomous vehicles with reduced or no human intervention
with reduced or no human intervention
mobile computing devices and Internet
Next-generation genomics
Fast, low-cost gene sequencing,
judgmentssoftware systems that can
Automation of knowledge
Intelligent
Next-generation genomics
Fast, low-cost data analytics, and
connectivity inexpensive and capable
advanced big gene sequencing,
Mobile
Increasingly
work Internet
perform knowledge work tasks involving
TheIntelligent
sodware
systems
that
can
pand subtle
Internet of Things
Networks of low-cost sensors and
synthetic big data analytics, and
Next-generation genomics sequencing,
advanced
mobile computing devices and Internet
unstructured commands erform
Fast,
low-‐cost
gene
advancedbiology (“writing” DNA)
Next-generation genomics Fast, low-cost gene sequencing,
Fast, low-cost gene sequencing,
synthetic biology (“writing” DNA)
actuators for
advanced big data analytics, and
connectivity data collection, monitoring,
judgments
knowledge
work
Intelligent software systems that can
big
data
analy2cs,
and
synthe2c
biology
and
advanced big data analytics,
decision making, and process
Automation of knowledgetasks
involving
unstructured
synthetic biology (“writing” DNA)
Energy storage
Devices or systems that store energy
synthetic biology (“writing” DNA)
optimization low-cost
work
perform knowledge sensors and
Thecommands
and
subtle
judgments
work tasks involving
Internet of Things
Networks of
(“wri2ng”
Energy storage DNA)
Devices use, including batteries
for later or systems that store energy
unstructured commands andthat can
subtle
actuators for data collection, monitoring,
for later use, including batteries
Automation of knowledge
Intelligent software systems
Energy storage
Devices or systems that store energy
judgments
decision knowledge work tasks
work
perform making, and process software
Cloud technology
Use of computer hardware and involving
for later use, including batteriesenergy
Energy storage
Devices or systems that store
optimization commands and subtle
3D printing
Additive manufacturing techniques to
unstructured
resources delivered over a network
3D printing
Additive manufacturing techniques
The Internet of Things
Networks of low-cost sensors and or
for later use, by printing layers
create objectsincluding batteries of to
judgments
the Internet, data as a service
create objects by printing layers of
actuators for often collection, monitoring,
material based on digital
3D printing
Additive manufacturingo
models to
Addi2ve
manufacturing
techniques
t techniques
Cloud technology f
low-‐cost
sensors
and
actuators
for
Use of computer and process
Networks
o
material based on digital models
decision making, hardware and software
The Internet of Things
Networks of low-cost sensors and
create objects by printing layers of
resources delivered over a network or
3D printing objects
by
prin2ng
layers
of
techniques to
Additive manufacturing
optimization ecision
making,
create
Advancedcollec2on,
monitoring,
d capable robots with
Increasingly data collection, monitoring,
actuators for
data
robotics
material based on digital models
Advanced materials
Materials designed to have superior
the Internet, often as a service
create objects by printing layers of
enhanced senses, dexterity, and
decision making, and process
Advanced materials
Materials designed to have superior
material
based
on
digital
models
digital models
characteristics (e.g., strength, weight,
and
process
op2miza2on
used to automate tasks or
material based on
intelligence
optimization
characteristics (e.g., strength, weight,
Cloud technology
Use of computer hardware and software
conductivity) or functionality
Advanced materials
Materials designed to have superior
augment humans
Advanced robotics
Increasingly capable robots with
conductivity) or functionality
resources delivered over a network or
characteristics (e.g., strength, weight,
enhanced senses, dexterity, and
the Internet, often as a service software
conductivity) or functionality superior
Cloud technology
Use of computer hardware and
Advanced materials
Materials designed to have
intelligence used to automate tasks or
Advanced oil and gas
Exploration and(e.g., strength, weight,
resources delivered over a and operate
network or
characteristics recovery techniques
Autonomous and
Vehicles humans
augment that can navigate
Advanced oil and gas
Exploration and recovery techniques
exploration and recoveryunc2onal
systems
aof the
that make extraction t
unconventional
the Internet, oftenodware
Use
of
computer
h Increasingly capable a service
Engineering
of
f
Advanced robotics
conductivity) or functionality
near-autonomous vehicles ardware
and
noas robots with
with reduced or s human intervention
exploration and recovery
that make extraction of unconventional
oil and gas and recovery
Advanced oil and gas
Exploration economical techniques
enhanced
oil and gas economical
resources
delivered
over
a
nsenses, dexterity, and or
etwork
or
the
molecular
scale
exploration and recovery
that make extraction of unconventional
intelligence used to automate tasks
Autonomous and
Vehicles that
Advanced robotics
Increasingly can navigate and operate
robots with
oil and gas economical
Internet,
genomics Fast,reducedcapablesequencing,
augment senses, human intervention
Next-generationoden
as
a
service
humans dexterity, and
low-cost gene
near-autonomous vehicles
with
or no
enhanced
Advanced energy
Exploration and recovery techniques
Renewable oil and gas
Generation of electricity from renewable
advanced big data analytics, and or
intelligence used to automate tasks
Renewable energy
Generationextraction of unconventional
exploration and recovery
that make of electricity from climate
sources with reduced harmfulrenewable
synthetic humans(“writing” DNA)
augment biology
sourcesgas economical
oil and
impact with reduced harmful climate
Renewable energy
Generation of electricity from renewable
Autonomous and
Vehicles that can navigate and operate
Next-generation genomics
Fast, low-cost gene sequencing,
impact
sources with reduced harmful climate
near-autonomous vehicles
with reduced data nd
Users
for
1.
Gartner:
Top
Technology
Predic2ons
for
IT
Organiza2ons
ahuman intervention and
beyond
advanced bigor no analytics, and 2020
Energy storage
Devices or systems that store energy
impact
synthetic that can (“writing” DNA)
SOURCE: McKinsey Global Institute analysis
2.
McKinsey
Global:
MGI_Disrup2ve_technologies_Full_report_May2013
Autonomous and
Vehicles biology navigate and
for later use, including batteriesoperate
SOURCE: McKinsey Global Institute analysis
Renewable energy
Generation of electricity from renewable
near-autonomous vehicles
with reduced or no human intervention
Next-generation genomics
Fast, low-cost gene sequencing,
sources with reduced harmful climate
SOURCE: McKinsey Global Institute analysis
Energy storage
Devices or systems that store energy
advanced big data analytics, and to
3D printing
Additive manufacturing techniques
impact
for later use, including batteries of
synthetic biology (“writing”layers
create objects by printing DNA)
Next-generation genomics
Fast, low-cost gene sequencing,
By
Antonio
Addario
material based on digital models
advanced big data analytics, and
3D printing
Additive biology (“writing” DNA)
syntheticor systems that store energy
SOURCE: McKinsey Global Institute analysis
Energy storage
Devices manufacturing techniques to
work
The
following
technologies1
will
have
transforma2onal
impact
on
human
rela2ons
in
the
next
decade2
Mobility
Compu2ng
Autonomous
Machines
Automa2on
of
Knowledge
Work
Gene2c
engineering
Internet
Of
Things
3D
Prin2ng
Cloud
Technology
Nanotechnologies
E1
6.
Coopera2on
will
occur
globally
regardless
of
geographical
and
cultural
barriers,
value
exchange
will
increase
Key
Aspects
•
•
•
•
•
•
•
•
Mobility
and
internet
connec2vity
will
further
develop
socially
and
geographically
distributed
thinking
and
value
exchange
Predic2ve
data-‐driven
applica2ons
will
provide
personalized
and
relevant
interac2ons
Speech
recogni2on
will
remove
language
barriers
The
Internet
of
Things
will
connect
machines,
people
and
businesses
blurring
the
line
between
human-‐machine
rela2ons
More
than
half
of
consumer
goods
manufacturers
will
receive
75
percent
of
their
consumer
innova2on
through
crowdsourcing1
Augmented
Reality
will
enrich
our
understanding
of
people
and
our
surroundings
Social
rela2ons
will
be
more
transparent,
honest
and
authen2c
because
of
the
availability
and
depth
of
informa2on
Bio-‐prin2ng
could
poten2ally
solve
many
health
issues
in
under
developed
countries
By
Antonio
Addario
Proof
Points
-‐
Examples
Highlight
is
an
social
networking
applica2on
that
finds
nearby
users
and
shows
things
they
have
in
common
with
you.
World's
largest
crowdfunding
plajorm.
The
company’s
stated
mission
is
to
help
bring
crea2ve
projects
to
life.
7. Compe22on
will
increase,
but
it
will
enable
smaller
players
to
take
on
bigger
ones
Key
Aspects
•
•
•
•
•
Proof
Points
-‐
Examples
The
Internet
penetra2on
increase
from
2.8B
in
2013
to
5B
by
2020
will
make
the
world
a
truly
global
compe22ve
market
Individuals
with
a
strong
digital
social
status
will
have
a
significant
compe22ve
advantage
Advanced
robo2cs
will
lead
to
further
automa2on
causing
job
losses,
but
also
increasing
the
value
of
crea2ve
individuals
Cloud-‐based
services
will
help
level
the
playing
field
for
small
organiza2ons
and
developing
na2ons,
offering
low-‐cost
high-‐
performance
ping
na2ons
and
small
Usage
of
Data
will
become
more
and
more
a
strategic
compe22ve
advantage
for
individuals
and
organiza2ons
able
to
capitalize
on
that
By
Antonio
Addario
1.
By
RethinkRobo2cs
Klout
is
a
influence
ranking
program
that
scans
and
pulls
informa2on
from
various
social
media
profiles,
including
Facebook,
TwiCer
and
couple
of
others.
Baxter
Robot1
performs
a
variety
of
repe22ve
produc2on
tasks
safely
and
working
next
to
people1
8.
Conflict
interac2ons
will
be
gelng
more
sophis2cated
and
scarier
especially
at
the
macro-‐level,
the
“Terminator”
is
not
far
away
Key
Aspects
•
•
•
•
•
•
Prolifera2on
of
unmanned
combat
robots
Rising
risks
of
security
and
privacy
breaches
as
reliance
on
digital
services
will
con2nuously
increase
Risk
of
gene2c
engineering
being
misused
to
obtain
gene2c
altera2ons
and
enhancement,
or
discriminate
individuals
By
20201,
enterprises
and
governments
will
fail
to
protect
75
percent
of
sensi2ve
data,
and
declassify
and
grant
broad/public
access
to
it.
Enterprises
and
governments
will
focus
on
protec2ng
only
a
small
part
of
it,
but
protec2ng
it
well.
This
could
lead
to
iden2ty
thed
and
social
re-‐engineering
3D
prin2ng
and
scanning
will
facilitate
IP
thed
Nanotech
will
be
developed
for
soldier
enhancement
and
chemical
weapons
Proof
Points
-‐
Examples
“U.S.
military
may
have
10
robots
per
soldier
by
2023”
ScoC
Hartley,
Senior
research
engineer
and
co-‐
founder
of
5D
Robo2cs
1.
Gartner:
Top
Technology
Predic2ons
for
IT
Organiza2ons
and
Users
for
2020
and
beyond
By
Antonio
Addario
9.
Such
development
of
Conflict-‐type
interac2ons
may
require
dras2c
Accommoda2on
measures
Key
Aspects
•
•
•
•
The
Robo2za2on
of
military
forces
will
further
increase
the
dominance
of
leading
na2ons.
The
reduc2on
of
own
casual2es
during
conflicts
will
also
cause
less
internal
poli2cal
resistance,
and
hence
poten2ally
trigger
more
acts
of
war.
The
ever
increasing
cases
of
digital
fraud
and
sensi2ve
informa2on
leaking
will
likely
trigger
a
spike
in
adop2on
of
encryp2on
and
digital
security
services,
but
also
being
“hacked
and
watched”
will
be
more
socially
accepted
Some
pre-‐digital
revolu2on
constructs
like
Copyrigh2ng
and
Patent
law
might
become
obsolete
or
significantly
reformed
given
their
increasing
lack
of
effec2veness
or
relevance
Interna2onal
Non-‐Governmental-‐
Organiza2ons
will
flourish
to
help
individuals
around
the
globe
to
deal
with
hegemonic
governments
and
criminal
organiza2ons
By
Antonio
Addario
Proof
Points
-‐
Examples
PLUG
a
data-‐storage
device
that
could
combat
the
government's
data-‐collec2on
surveillance
program
known
as
PRISM.
In
just
nine
days,
the
developers
received
more
than
$500,000
in
dona2ons.
Pirate
Party
is
a
label
adopted
by
poli2cal
par2es
in
different
countries.
Pirate
par2es
support
civil
rights,
direct
democracy
and
par2cipa2on
in
government,
reform
of
copyright
and
patent
law,
free
sharing
of
knowledge,
informa2on
privacy,
transparency,
freedom
of
informa2on
and
network
neutrality.
10. The
Assimila2on
processes
will
accelerate
thanks
to
the
connected
global
society
Key
Aspects
•
•
•
In
the
next
decade
we’ll
make
the
more
steps
towards
a
global
assimila2on
process
that
will
form
ONE
global
culture.
Evidence
of
this
is
higher
in
young
genera2ons
which
are:
comfortably
communica2ng
in
English;
spending
the
majority
of
their
2me
connected
and
consuming
interna2onally
produced
media
content;
adop2ng
global
fashion
trends.
The
size
of
these
global
ci2zen
will
increase,
and
a
more
balanced
cross
pollina2on
between
Eastern
and
Western
cultures
will
occur.
Individuals
aCracted
by
aspects
of
other
cultures
will
make
them
their
own,
and
even
demand
them
via
various
means
like
poli2cs
and
legisla2on.
Conscious
of
the
value
of
data,
by
2017,
80
percent
of
consumers
will
collect,
track
and
barter
their
personal
data
for
cost
savings,
convenience
and
customiza2on1.
Proof
Points
-‐
Examples
1. Gartner:
Top
Technology
Predic2ons
for
IT
Organiza2ons
and
Users
for
2020
and
beyond
2. 2.
FoxNews
December
2013
By
Antonio
Addario
The
infamous
music
video
GangNam
Style
has
now
reached
the
staggering
1,885,927,665
views
on
YouTube.
This
is
an
example
of
how
culture
(in
this
case
pop-‐
culture)
can
rapidly
spread
in
a
connected
society
Versions
of
Black
Friday
now
take
place
in
Mexico,
Chile,
Argen2na,
Colombia,
Ecuador,
Costa
Rica,
Panama,
Nicaragua,
El
Salvador,
Honduras,
Peru
and
Brazil.
This
North
American
import
con2nues
to
grow
every
year2
11. Conclusions
•
•
•
•
•
We
expect
social
interac2ons
to
become
more
sophis2cated
and
meaningful
in
the
next
decade,
this
will
largely
be
due
to
smart
u2liza2on
of
data
and
connected
devices.
Technology
will
become
even
more
entrenched
into
our
lives,
and
boundaries
between
human
and
machine
interac2on
will
blur.
Our
digital
presence
will
just
become
an
extension
of
us,
no
longer
a
digital
alter-‐ego.
Exis2ng
social
interac2on
dynamics
and
paradigms
will
be
challenged
and
in
some
cases
loose
relevance
and/or
become
obsolete;
privacy
and
copyright
are
a
typical
example
of
this.
Purely
physical
face-‐to-‐face
interac2on
won’t
necessarily
be
the
most
meaningful
nor
the
preferred
method
of
communica2on
among
individuals.
Robo2za2on,
gene2c
engineering,
and
nanotechnology
could
greatly
enhance
our
quality
of
life,
but
also
represents
the
biggest
threats
to
our
society
if
they
will
end
up
in
the
wrong
hands.
Overall
we
can
conclude
that
technology
will
contribute
to
improve
and
enhance
the
quality
of
social
interac2ons,
but
not
without
risks.
Policy
makers
and
socie2es
will
have
to
con2nuously
monitor
and
adopt
correc2ve
measures
as
necessary.
By
Antonio
Addario