In the future, I believe that there will
be these coexistence between humans and
these artificial intelligence systems
that will be, hopefully, of service to humanity.
And these AI systems will
involve systems that only handle the
digital world, but there will be also
systems that move around, like drones and robots,
and autonomous cars.
So you will have these intelligence in the physical
world too, not only on your cell phone or
on your computer, but also more present
around us in any environment.
So what I'm very much working on is the fact that
I would like these machines to be able
to explain themselves,
so to be accountable for the decisions they make,
to be transparent.
When cobalt, my robot,
arrives to my office slightly late ,
you can say, "Why are you late?" or "Which route
did you take?" because this problem...
These issues that the robot experiences when it
moves in the building, I cannot see the robot.
Therefore, when it appears in front of my office
I would like to know
more about what did it do, what it
actually encountered on its experience
by itself coming from my lab to my office.
That makes us, eventually, the humans,
trust more these robots, trust more these machines
because these AI systems, they are able to explain
what's behind their decisions or what's
behind their influences, or what's beyond
their suggestions. But I do believe the
same way that humans have limitation,
I speak with an accent, I don't play squash
as well as someone else, that we that
these robots will also have limitations.
Alexa, for example, cannot scramble eggs,
which is perfectly fine as it doesn't
have the ability to move from place to place.
So there is this concept of AI systems,
they have to be in symbiosis with
everything else, with other information
on the web, with other AI systems
with humans next to them, with humans remote
and becomes now not a problem of
actually developing the AI system to be
self-contained and all with all the
knowledge there and all the capabilities,
but no, it's just an AI system that can
recognize and tell when it does not know
or it needs more information or I think
these with some probability, but it's not
that it can solve all the problems up
front, but it can rely on all these
other sources around it.
The general AI problem is extremely challenging and
extremely exciting now, because there's so much data.
There are so many people using the digital devices.
We have seen a great success on this
assistant, this intelligent assistant.
But eventually, more and more, as the time goes,
we are doing a lot of research on
these AI systems having impact on
problems more broad in society,
deciding traffic in a big city or
deciding or making great predictions
about climate, and making recommendations
about all sorts of decisions and
supporting humans in great decisions.
They have to make both complicated and
very complex systems.
I really think that the autonomous systems,
the research we do an autonomous systems,
autonomous cars, autonomous robots,
it's a call to humanity to be responsible.
It was invented by us, by humans.
It didn't come from the sky from Aliens.
It's our own discovery.
It's the human mind that conceived
such technology, so it's up to the human
mind also, and humanity, to make good use
and responsible uses and beneficial uses
of this technology and I have a lot of
trust that this will happen.