#EIFasks on Artificial Intelligence and Ethics

#EIFasks on Artificial Intelligence  and Ethics

– Europe should continue
this kind of events. We have to debate, we have to
see the challenges that come with artificial intelligence. We have to see the benefits
but also who uses artificial intelligence, what scope they
have, what kind of products they have, what business model they have. And I think this is the real
difficulty, the real problem in bringing the right policy to tackle these kind of challenges. We have to protect those that
use artificial intelligence in a way that it enhances our lives. – Europe’s priority is to make
sure that ethic principles are respected throughout
Europe in the 28 member states and that we are working
with member states on that and we are also working with
the stakeholders community of artificial intelligence. We have a platform where
people can become members of the European AI Alliance and
they can participate to the discussion on the principles. We have a high level expert
group who is going to be drafting principles as well as
modalities of implementations of these principles and we hope
that all the businesses will sign up to those principles
when time comes on the voluntary basis in all the member states
because we need to make sure that ethics does not become
another barrier to the digital single market. – The development of AI,
intelligence systems and autonomous systems should be based on human values. Human rights, increasing
well-being are two main issues that AI should actually address. And the European Union has
a policy that it is putting forward now and if it’s
fundamentally based on respecting human rights not infringing
human rights and on increasing well-being beyond economic
growth, I think this will contribute very importantly
to the development of an ethically aligned AI. – What we want to ensure is
that the data set that we are gathering are actually going
to be non-biased and they actually are respecting the
basic ethical values that we are going to use in our
training of the AI systems. One of the examples could be
the case that you are trying to find out whether it
is ethical for a society to do some judgments. In elicitation for example,
you can take the previous data and train AI for doing it
and then you can make queries about whether our current
system is ethical or not. So what I think really is
that we can actually work for making better out of
society using AI in that manner.

Danny Hutson

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