This is the end of the first day of Davos,
I think that one of the key themes of Davos today,
I think it's AI, clearly, and you and I were in Davos last year,
I think at the time was emergence of ChatGPT,
I think that we could see the power of the AI.
But this year I think that the phase has really changed.
I see that a lot of the executives try to deploy more
the power of the AI but how do you see that,
the emergence of the AI in 2023 and how do you see the trend overall?
Yeah, I think it's really fascinating that we have like a
generative AI actually catch that more general public
interest as well, not just experts.
And I think one of the keys was ChatGPT and its hallucination.
So people get excited about it.
Yeah, all kind of interesting phenomena they observed as well.
But this is not really happening all of the sudden, right?
Yes, that's a long research, underlying research to get here.
So 2012 the AI community got deep learning and then we have a
GAN, generative adversarial network, and then generative AI.
So there's continuous improvement— every five years we
have like a quantum leap on the technology in the AI.
So this is really there still.
I think this is really the beginning.
People say this is going to be the high point now, I kind of doubt
that actually.
So I think we are witnessing very early stage of the internal
industrial revolutions.
In the industrial revolution we got the power, the steam engine
and the internal combustion engine.
You have a dramatical change in the way we do things like
society and mobility and manufacturing and all that.
I think we are getting the power of the intelligence now and we
are at the very beginning of that.
So at this moment, I say generative AI is still in the
stage of the steam engines.
Internal combustion engines are yet to arrive.
And probably in the next five years we're going to see a couple major
quantum leaps on the technology.
So that's something that we are witnessing.
Very insightful.
You are a long time champion of AI, so great to see that
we are still the beginning of the big wave.
My next question is: How do you see the impact of AI to
particularly to the area of the creation and innovation.
And it's often said that AI has the power, but usually
we imagine that you know power applied to the productivity
increase, I think efficiency and effectiveness.
But I think that Sony is now the company with both technology
and entertainment trying to deploy more the power of the AI in the
world of creation.
Could you elaborate on that part?
I think that Sony is the company for the creators.
So for the R&D we are saying that we are here for creators.
So that is the decision criteria for us to go or no go.
What kind of technology we want to build? Is the technology beneficial to
the creators?
And makes the world a better place?
Make people more creative?
And that's really the essence of Sony's R&D.
And generative AI...
This is really interesting because you prompt, you got all
the images and you got a prompt, you got all kind of sentences
and things like that.
So it helps us create things.
So the issue is: is that going to be helpful for the creators, who
could benefit from that?
And is it going to make people even more creative, or just generating
some image and that's it?
So I think that creators start using generative AI in a very
creative way.
So I'll say like people worry about like whether
creativity will be lost because of generative AI.
I kind of doubt that. My message would be: trust human creativity.
Got it.
We are very creative and I think we should have a big trust on
how creative we can be.
My last question is about responsible AI.
So technology has both the positive side and negative side.
We feel that you know the awe, and also the fear. AI as well.
I mean we see that great benefit of the increasing the
productivity or creation as you mentioned.
But at the same time we worry about elimination of the
workforce and others.
How do we see the,
How do we have set up the guideline to make the right
responsible AI?
So there are a few different aspects for that.
Since the generative AI requires an abundancy of data, whether
the data or copyrights of the rights holder is protected or
or something that just generates, is too close to that someone's
artwork, or that kind of a copyright issue is really the
critical, there's all kind of legal action being taken right
now to resolve these issues.
So that's one part, OK.
So different aspect is that who benefit from the generative AI.
So because this is like a data-driven machine learning
system, basically the performance and what we get
depends on what kind of data we use.
So the capability to access the generative AI doesn't equal to
the someone benefit from the generative AI.
If someone wants to get a data, issues in specific regions.
If data is not trained, the system is not trained on data
related to that region,
you only get the lousy answer.
So most of the software, if you get access to software, you get
the same function anywhere in the world.
And a generative AI, that is not the case.
So for us to make sure everyone benefits from generative AI, we
need to be more transparent, we need to have a fair balance of
the kind of data we're gonna use.
So that is the second aspect because we're gonna have anyone
lag behind on it.
The third one is we have the employment issue and other risk
issues.
So that is what we call the responsible deployment.
So someone, anyone who build the AI system need to check whether
that is complying with the specific standard or ethical
standard or some sort of legal guideline and then deploy that.
So it's a little bit like the pharma industry for example, you
have like a preclinical and a phase one, phase two, phase
three clinical trial and then go for it, right.
So I'm not sure if we're gonna have like FDA-like regulatory
body, but I think we need some guidelines.
Yeah, guidelines and decent company should be very conscious
about how you ensure the quality and then the safety of the AI
system they're building and then deploying it.
Thank you very much.