How
artificial
intelligence
is
affecting
business
It
that
artificial
intelligence
(
AI
)
is
having
a
huge
impact
on
business
around
the
world
and
across
sectors
.
There
are
the
expected
changes
it
has
produced
such
as
faster
response
times
,
more
efficiency
,
and
depending
on
the
company
,
possible
cost
savings
.
But
there
are
some
unexpected
impacts
also
.
To
help
us
understand
what
some
of
those
unexpected
impacts
might
be
,
think
back
to
the
last
time
you
used
Amazon's
Alexa
assistant
,
Google's
personal
assistant
,
or
Apple's
Siri
.
Do
they
always
work
exactly
as
you
would
expect
?
Of
course
not
!
Often
these
programs
,
which
some
would
classify
as
a
level
of
AI
,
either
do
not
hear
you
correctly
,
or
simply
become
confused
with
your
request
or
sentence
.
Sometimes
,
they
simply
don't
have
the
answer
you
are
looking
for
.
When
this
happens
,
how
do
you
feel
?
Frustrated
?
Annoyed
?
?
Now
,
imagine
that
your
'coworker'
is
not
an
actual
flesh
and
blood
person
,
but
a
robot
run
by
AI
.
It
is
supposed
to
help
you
and
make
your
job
easier
by
providing
you
with
the
information
and
feedback
that
you
need
,
but
when
it
fails
to
do
so
,
you
feel
the
same
irritation
that
you
do
today
with
the
personal
assistants
mentioned
above
.
This
is
certainly
new
territory
in
the
business
world
.
It
is
one
thing
to
give
advice
and
guidance
when
it
comes
to
interpersonal
relationships
between
human
coworkers
,
and
another
entirely
different
thing
to
do
so
regarding
relationships
between
human
and
AI
coworkers
.
In
fact
,
one
could
ask
if
there
is
even
a
need
to
analyze
this
at
all
.
It's
not
like
AI
can
have
its
'feelings'
hurt
if
its
human
counterpart
it
for
not
doing
a
good
job
.
But
,
as
with
all
things
human
,
it's
not
that
simple
.
Nor
can
we
truly
identify
how
to
deal
with
situations
such
as
this
until
we
have
AI
capable
of
being
a
regular
and
common
aspect
of
business
in
general
.
What
we
do
know
,
however
,
is
that
productivity
,
mood
,
and
levels
of
happiness
are
greatly
affected
by
how
a
person
responds
to
external
.
For
example
,
your
coworker
promises
to
provide
you
with
statistical
analysis
that
you
need
to
finish
a
project
.
When
you
ask
for
the
information
,
they
tell
you
that
they
haven't
done
it
yet
.
You
respond
in
one
of
two
ways
.
The
first
way
,
you
become
very
upset
and
in
an
angry
voice
tell
your
coworker
that
you
were
depending
on
that
information
and
that
they
have
broken
their
promise
to
you
,
then
you
throw
the
file
on
their
desk
and
without
allowing
them
to
speak
.
Or
you
respond
the
second
way
,
you
take
a
deep
breath
and
ask
them
if
there
was
a
specific
reason
why
they
weren't
able
to
get
it
done
in
a
calm
and
measured
tone
of
voice
.
You
allow
them
to
explain
that
a
relative
of
theirs
recently
died
and
they
had
to
take
a
couple
of
days
off
to
go
to
the
funeral
.
As
a
result
,
they
have
been
a
bit
behind
.
Of
course
,
you
understand
their
situation
and
tell
them
that
it's
nothing
to
worry
about
and
that
you'll
take
care
of
it
.
While
neither
situation
is
a
positive
outcome
,
one
will
result
in
bad
feelings
for
you
and
your
coworker
.
The
other
will
result
in
your
coworker
appreciating
you
more
for
your
understanding
and
you
will
feel
no
sense
of
anger
or
irritation
with
them
because
they
were
not
being
,
but
in
a
difficult
situation
.
This
well
illustrates
what
we
know
about
the
results
of
human
response
.
We
are
often
the
ones
who
decide
if
a
situation
results
in
negative
feelings
or
positive
ones
.
This
does
not
change
whether
we
are
speaking
to
a
fellow
coworker
,
using
a
computer
,
trying
to
fix
something
that
has
broken
,
or
perhaps
,
trying
to
integrate
with
AI
coworkers
.
Interestingly
then
,
our
success
in
dealing
with
difficulties
in
the
workplace
with
AI
coworkers
could
really
have
more
to
do
with
us
than
with
our
future
robotic
.
Whether
we
will
ever
need
to
face
this
challenge
or
if
it
will
be
our
children
learning
these
lessons
,
only
time
will
tell
.
Let's
check
what
you
remember
!
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