Why AI Needs Regulation & How Fire Clouds Worsen European Fires | WEF | Stories of the Week
51 segments
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>> When you look at the development of a
particular technology such as aircraft,
[music] airplanes, airline industry,
these are industries that are heavily
regulated. And I guess none of us wants
to sit on an airplane that is unsafe.
There is a lot of misconception and
misunderstanding about the relationship
between [music] innovation and risk or
regulation. A lot of the people think
that oh, as soon as the word risk or
regulation appears, it means that the
people who use these words are against
[music] innovation.
Instead of first developing AI systems
[music] and then asking these
philosophical questions, can we think
about the philosophical questions along
the way of developing the systems? We
need to make [music] sure that if a
child is having access to a chatbot,
particular types of conversations are
blocked [music] when the child is using
the system. Or we need to make sure that
the a chatbot doesn't make a child or an
an adult addicted.
Ethical AI refers to a set of verifiable
practices that can help humans to
understand [music]
whether the AI system that they're
developing benefits society. [music]
There are many different ways to measure
whether, for example, an AI system is
[music] fair. This is a collective
attitude that should be really engraved
in the minds of a new generation, future
generation, such that we are sure that
collectively [music] we steer the use of
AI towards the benefit of humanity and
human flourishing and human well-being.
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This video discusses the vital relationship between AI innovation, regulation, and ethical responsibility. It argues that addressing philosophical and safety concerns throughout the development process is crucial to ensuring technology benefits humanity and protects vulnerable users like children.
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