The initial perspective on the Future of Privacy kicked off the Future Agenda 2.0 global discussions taking place through 2015. This summary builds on the initial view and is updated as we progress the futureagenda2.0 programme. www.futureagenda.org
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Future of privacy - Insights from Discussions Building on an Initial Perspective by Stephen Deadman, Vodafone
1. The
Future
of
Privacy
Insights
from
Discussions
Building
on
an
Ini4al
Perspec4ve
by:
Stephen
Deadman
|
Group
Privacy
Officer
|
Vodafone
Group
plc
2. Context
The
ini4al
perspec4ve
on
the
Future
of
Privacy
kicked
off
the
Future
Agenda
2.0
global
discussions
taking
place
through
2015.
This
summary
builds
on
the
ini4al
view
and
is
updated
as
we
progress
Ini4al
Perspec4ves
Q4
2014
Global
Discussions
Q1/2
2015
Insight
Synthesis
Q3
2015
Sharing
Output
Q4
2015
3. Knowing
The
Unknown
By
2020
people
and
connected
objects
will
generate
40
trillion
gigabytes
of
data
that
will
have
an
impact
on
daily
life
in
one
way
or
another.
This
data
will
make
known
about
us
things
that
were
previously
unknown
or
unknowable.
4. Value
of
Data
There
is
undoubtedly
a
huge
economic
incen4ve
to
generate
and
collect
data
from
whatever
sources
it
becomes
available.
As
more
data
from
more
things
becomes
available,
we
can
expect
to
see
a
data
“land
grab”
by
organisa4ons.
5. Privacy
is
a
Public
Issue
The
public’s
percep4on
of
the
threats
to
privacy,
personal
freedom
and
autonomy
is
growing.
Privacy
has
already
emerged
beyond
a
niche,
specialist
concern
to
being
a
mainstream
public
issue.
6. Growing
Distrust
Growing
awareness
and
distrust
will
increasingly
become
a
factor
in
decision
making
for
ordinary
people
–
decisions
about
the
products
we
use
or
abandon,
the
brands
we
associate
with,
the
poli4cal
leaders
we
elect.
7. Digital
Commons
The
‘digital
commons’
will
con4nue
to
grow,
empowering
more
and
more
ci4zens
and
consumers
to
take
maZers
into
their
own
hands,
such
as
deploying
end-‐to-‐end
encryp4on,
anonymizers
and
by
“watching
the
watchers”.
8. Individual
Control
New
disrup4ve
providers
are
seeking
to
put
the
individual
in
control
of
their
personal
data.
In
the
process,
they
are
seeking
to
dis-‐intermediate
data-‐intensive
businesses
from
their
exis4ng
sources
of
data.
9. Stronger
RegulaDon
Regula4on
will
get
tougher:
Policy
makers
will
act
to
toughen
laws,
even
though
they
move
at
geological
speeds
compared
to
the
rate
of
technology
development.
10. Personally
Curated
Data
‘Personally
curated’
sources
of
data
will
have
higher
value
simply
due
to
the
fact
that
they
will
represent
the
actual
wishes
and
desires
of
an
individual,
rather
than
the
presumed
wishes
and
desires
based
on
derived
data.
11. Privacy
Visibility
The
security
industry
has
been
es4mated
to
be
worth
$350
Billion
in
the
US
alone;
security
is
a
sophis4cated
and
maturing
market.
The
‘privacy
industry’
by
contrast
is
hardly
recognizable
at
all.
12. ShiEing
Power
To
The
Individual
This
poten4al
for
economic
disrup4on
to
come
to
the
aid
of
privacy
by
shiaing
power
over
data
from
the
organisa4on
to
the
individual
is
one
of
the
most
significant
emerging
trends.
13. Data
Ethics
and
Trust
As
trust
increasingly
drives
success,
organisa4ons
will
seek
to
make
data
ethics
a
focus.
In
order
to
engage
and
gain
buy-‐in
from
governments
and
consumers
alike,
trust
in
data
usage
will
become
a
core
placorm
for
differen4a4on.
14. Linkability
of
Open
Data
No
data
will
be
truly
anonymous:
Current
open
data
prac4ce
assumes
that
technology
will
be
not
be
able
to
relink
it
to
its
source.
This
is
not
the
case
and
so,
by
2025,
we
will
see
different
levels
of
de-‐iden4fica4on.
15. Global
vs.
Local
Technology
is
by
its
very
nature
global
and
data
does
not
respect
na4onal
boundaries.
Can
na4on
states
con4nue
to
set
the
rules
or
will
tension
in
global
interoperability
drive
us
to
design
for
global
standards
but
with
localised
use?
16. Technology
to
the
Rescue
The
machines
will
help
us
manage
our
privacy:
Technology
will
enable
people
to
protect
themselves
and
killer
apps
will
let
people
collect
and
share
their
data
for
the
‘public
good’.
17. Privacy
as
CompeDDon
Privacy
is
not
about
the
individual
–
it
is
all
about
the
value
of
data.
Therefore
we
will
see
increasing
data
fragmenta4on
as
companies
seek
to
use
data
for
compe44ve
advantage
and
create
new
barriers
to
entry.
18. Data
Risk
Management
As
privacy
and
data
are
subsumed
within
wider
risk
frameworks,
greater
self-‐regula4on
and
more
in-‐house
data
risk
management
will
lead
to
deeper
integra4on
of
engineering,
privacy
and
policy.
19. I,
Robot
We
will
see
urgent
debate
on
the
accountability
and
ethicacy
of
machines
and
systems
making
autonomous
decisions,
using
our
data.
Solu4ons
will
have
profound
implica4ons
for
the
development
of
data-‐driven
technologies.
20. Privacy
EducaDon
Race
Programmes
of
‘privacy
educa4on’
emerge
to
combat
mass-‐desensi4sa4on
to
the
sharing
of
private
data.
However
this
will
not
prevent
‘privacy
coronaries’
–
the
result
of
returning
to
bad
habits
aaer
privacy
viola4ons.
21. Privacy
Crimes:
Data
Hostages
Criminals
have
always
invaded
privacy,
but
new
threats
emerge
as
our
digital
selves
increasingly
become
poten4ally
valuable
hostages.
Stronger
privacy
rights
will
need
to
be
backed
by
knowledge
of
where
we
are
most
vulnerable.
22. The
Many
Faces
of
Privacy
Different
interpreta4ons
of
privacy,
many
from
different
cultures,
challenge
exis4ng
models.
Global
frameworks
may
become
more
consistent
while
implementa4ons
are
localised
and
diverse,
making
'privacy
borders'
a
reality.
23. Privacy
Rights
We
see
more
robust
privacy
rights
beZer
suited
to
the
digital
age.
These
may
include
rights
to
anonymity
and
personal
data
ownership,
but
also
innova4ve
rights
to
‘digital
self-‐determina4on’
or
‘the
right
to
change
our
minds’.
24. Paying
for
Privacy
We
do
not
currently
understand
the
value
of
our
data
or
how
it
is
being
used
and
so
are
giving
it
away.
In
the
future
we
might
be
willing
to
pay
more
for
our
privacy
than
the
data
we
share.
25. To
Have
and
To
Hold
Porous
access
controls
and
the
risk
of
future
liabili4es
highlight
to
many
that
there
is
benefit
in
destroying
data
that
is
not
needed
–
especially
HR,
customer
and
pricing
informa4on.
26. Sharing
Secrets
In
exchange
for
beZer
service
or
an
improved
quality
of
life,
we
increasingly
recognise
exactly
what
personal
informa4on
we
are
prepared
to
share
and
who
to
share
it
with.
27. The
Privacy
Illusion
There
is
a
rising
general
belief
in
the
right
to
data
privacy
and
the
right
to
data
security.
Both
are
illusions:
Security
is
impossible
without
increased
monitoring
-‐
and
so
true
privacy
is
also
impossible.
28. Privacy
Agents
The
difficul4es
in
extrac4ng
value
from
our
data
while
protec4ng
our
privacy
sees
the
emergence
of
new
professions.
Look
out
for
‘privacy
agents’
and
‘data
brokers’
ac4ng
as
intermediaries
and
managing
the
flow
of
our
data.
29. Rising
Cyber
Security
Greater
interconnec4vity
and
the
Internet
of
Things
creates
new
vulnerabili4es
for
governments
and
corpora4ons
-‐
as
the
unscrupulous
and
the
criminal
increasingly
seek
to
exploit
weakness
and
destroy
systems.
30. Global
Privacy
Treaty
As
different
regions
all
seek
to
progress
data
regula4on
via
the
likes
of
APEC
and
the
EU,
the
emergence
of
a
global
privacy
framework
is
championed
by
those
looking
for
control
and
transparency:
A
Geneva
Conven4on
for
privacy?
31. Under
the
Skin
As
wearables
and
implants
become
commonplace
and
workforces
are
freelance
and
porcolio-‐based,
the
ability
of
organisa4ons
to
own
or
control
corporate
informa4on
held
on
personal
devices
is
significantly
diminished.
32. Data
and
Democracy
Many
ques4on
whether
privacy
will
enable
the
democra4c
process:
Is
there
privacy
without
democracy?
Ci4zen
data
is
increasingly
publicly
used
and
shared
by
governments
as
an
instrument
of
social
change.
33. Privacy
as
a
Luxury
The
right
to
privacy
becomes
more
difficult
to
enforce,
but
the
wealthy
con4nue
to
take
ac4on
when
informa4on
is
misused.
Privacy
could
be
a
luxury
in
the
near
term
–
but
may
become
more
widely
available
in
the
longer
term.
34. Informed
Consent
Given
complex
data
flows,
informed
consent
is
increasingly
challenging
–
so
an
alterna4ve
is
needed:
An
accountability
governance
model
incorpora4ng
ethics
and
respeccul
data
use
is
a
compelling
subs4tute
or
complement.
35. Future
Agenda
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