# When they see us

**Source**: https://ge.iitm.ac.in/rendezvous/when-they-see-us/
**Parent**: https://ge.iitm.ac.in/rendezvous/page/2/

The
rapid
advancements
in
Artificial
Intelligence
do raise
some
critical
concerns
over its
impact
on
society,
especially
in
matters
concerning
misinformation
and
deception.
However, Dr
Mark
Lee, who
is a
professor
of
Artificial
Intelligence
in the
School
of
Computer
Science
at
the University
of
Birmingham,
says
that it
is
important
to
strike a
balance
between
innovation
and
accountability
to
harness
AI’s
full
potential

**Mark
Lee**

Artificial
Intelligence
(AI) is
currently
going
through
a
technological
revolution
with the
potential
to
revolutionise
the way
we live
and
work.
Generative
AI is
now
freely
available
to
produce
photorealistic
images,
movies
and even
music.

I
specialise
in
Natural
Language
Processing
(NLP).
From
voice
assistants
to
chatbots,
NLP
plays a
crucial
role in
understanding
and
responding
to human
queries.
However,
the
future
of NLP
lies in
advancing
beyond
the
simple
question
answer
interactions.

In the
coming
years,
we can
expect
NLP
systems
to
possess
a deeper
understanding
of
context,
emotions,
and
subtle
nuances
of human
language.
This
will
empower
machines
to
engage
in more
natural
and
sophisticated
conversations,
resembling
human-like
communication.
Imagine
an AI
assistant
that not
only
understands
what you
say but
also
detects
your
tone and
emotions,
fine-tuning
its
responses
accordingly.

Another
area
where
NLP will
shape
the
future
is in
language
translation
and
global
communication.
Machine
Translation
was one
of the
first
goals of
NLP
research
in the
1950s.
Now
services
such as
Google
Translate
are
widely
available
for use
on
mobile
phones
etc.

There is
still
room for
improvement.
Most of
the
current
NLP
models
rely on
massive
amounts
of
textual
data and
so there
has been
a focus
on
languages
such as
English
and
Chinese
where
such
data
freely
exists.
Current
research
involves
adapting
such
models
to
handle
languages
with
less
resources.
Given
India is
the home
to 22
official
languages
and
almost
400
different
languages
in
total,
this
will be
a key
challenge.

The
eventual
goal of
Machine
Translation
is the
ability
to do
real-time
spoken
translation
as a
seamless
technology
which
will
enable
effective
communication
between
people
from
diverse
international
backgrounds.
This
will
foster
better
collaboration,
understanding,
and
cultural
exchange
on a
global
scale.

NLP will
continue
to
transform
content
creation
and
personalisation.
Content
generation
algorithms,
such as
those
used in
news
articles
and
marketing
campaigns,
will
become
increasingly
sophisticated
and
indistinguishable
from
human-authored
content.
Businesses
will be
able to
automate
content
creation,
tailoring
it to
individual
preferences
and
demographics.
Imagine
receiving
personalised
news
updates,
blog
posts,
or
product
recommendations
that
perfectly
align
with
your
interests
and
needs.

Generative
AI
cannot
now be
ignored
as a
technology
and so
it is
crucial
to
address
ethical
considerations
such as
protecting
privacy,
combating
bias,
and
mitigating
the
spread
of
misinformation.
There
are
already
discussions
about
creating
robust
regulations
to
control
AI
research.
However
such
regulations
can only
go so
far,
especially
when
concerning
the
global
development
of AI.
There is
an
urgent
need to
educate
our
politicians,
and the
wider
public,
to
better
understand
both the
potential
benefits
and
risks.

A
difficult
consideration
is who
owns
these
technologies.
All of
the
existing
Large
Language
Models
(LLMs)
which
power
chat
bots
such as
ChatGPT,
Bard,
are
owned by
either
Big Tech
companies
such as
Microsoft
and
Google
in the
US or
Baidu in
China.
All such
companies
have
their
own
agendas
and
company
biases
and
prejudices.
It must
be noted
that in
March,
Elon
Musk and
a group
of
artificial
intelligence
experts
wrote an
open
letter
citing
potential
risks in
developing
systems
more
powerful
than
OpenAI’s
GPT-4,
calling
for a
six
month
pause in
AI
experiments.
In the
future,
I expect
nations
to
develop
their
own AIs
to be
used for
their
own
national
interests.
There is
a real
risk of
misinformation
and
other
forms of
deep
fakes
becoming
commonplace.

I
predict
that AI
will
continue
to make
ever
faster
advancements
and
these
technologies
will
become
commonplace.
Therefore
ethical
considerations
must be
at the
forefront
of
research.
As we
embark
on this
exciting
journey,
we must
strike a
balance
between
innovation
and
accountability
to
harness
the full
potential
of AI to
shape a
better
future.

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