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On
March
29,
2023,
the
UK
government
published
a
white
paper
on
artificial
intelligence
(“AI”)
entitled
“A
pro-innovation
approach
to
AI
regulation.”
The
white
paper
sets
out
a
new
“flexible”
approach
to
regulating
artificial
intelligence
which
is
intended
to
build
public
trust
in
AI
and
make
it
easier
for
businesses
to
grow
and
create
jobs.
The
UK
government
has
the
following
three
objectives
that
the
approach
is
designed
to
achieve:
-
Drive
growth
and
prosperity
by
making
responsible
innovation
easier
and
reducing
regulatory
uncertainty.
The
UK
government
believes
this
will
encourage
investment
in
AI
and
support
its
adoption
throughout
the
economy. -
Increase
public
trust
in
AI
by
addressing
risks
and
protecting
our
fundamental
values. -
Strengthen
the
UK’s
position
as
a
global
leader
in
AI.
The
UK
government
believes
the
UK
can
play
a
central
role
in
the
global
conversation
by
shaping
international
governance
and
regulation
to
maximize
opportunities
and
build
trust
in
the
technology,
while
mitigating
potential
cross-border
risks
and
protecting
the
UK’s
democratic
values.
In
its
press
release,
the
UK
government
notes
it
“will
avoid
heavy-handed
legislation
which
could
stifle
innovation
and
[instead]
take
an
adaptable
approach
to
regulating
AI.”
It
will
do
this
by
empowering
existing
regulators
to
prepare
tailored,
context-specific
approaches
that
suit
how
AI
is
used
in
each
specific
sector.
The
white
paper
outlines
the
following
five
principles
that
regulators
are
to
consider
to
facilitate
the
safe
and
innovative
use
of
AI
in
their
industries:
-
Safety,
Security
and
Robustness:
applications
of
AI
should
function
in
a
secure,
safe
and
robust
way
where
risks
are
carefully
managed; -
Transparency
and
Explainability:
organizations
developing
and
deploying
AI
should
be
able
to
communicate
when
and
how
it
is
used
and
explain
a
system’s
decision-making
process
in
an
appropriate
level
of
detail
that
matches
the
risks
posed
by
the
use
of
the
AI; -
Fairness:
AI
should
be
used
in
a
way
which
complies
with
the
UK’s
existing
laws
(e.g.,
the
UK
General
Data
Protection
Regulation),
and
must
not
discriminate
against
individuals
or
create
unfair
commercial
outcomes; -
Accountability
and
Governance:
measures
are
needed
to
ensure
there
is
appropriate
oversight
of
the
way
AI
is
being
used
and
clear
accountability
for
the
outcomes;
and -
Contestability
and
Redress:
people
need
to
have
clear
routes
to
dispute
harmful
outcomes
or
decisions
generated
by
AI.
Michelle
Donelan
MP,
Secretary
of
State
for
Science,
Innovation
and
Technology,
considers
that
this
principles-based
approach
“will
enable
.
.
.
[the
UK]
to
adapt
as
needed
while
providing
industry
with
the
clarity
needed
to
innovate.”
Over
the
next
12
months,
regulators
are
expected
to
issue
practical
guidance,
as
well
as
other
tools
and
resources
such
as
risk
assessment
templates,
detailing
how
to
implement
the
principles
in
their
sectors.
Legislation
could
also
be
introduced,
specifically
to
ensure
regulators
consider
the
principles
consistently.
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