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Transcript
The field is divided into several subfields, with
different approaches, a wide range of tools and
applications and strategic possibilities. Issues
related to the ethics of creating entities is critical.
One aspect of AI relates to the cultural
movement called H+ or transhumanism. Its
focus is on human transformation by
integrating machine capabilities.
The diversity of AI is reflected in the fact that
collaboration among interest-area researchers
predominates, which gives the field flexibility. The
drawback is that individual scholars can shift rapidily
in their focus.
'Medical artificial intelligence is primarily concerned
with the construction of AI programs that perform
diagnosis and make therapy recommendations.
Unlike medical applications based on other
programming methods, such as purely statistical
and probabilistic methods, medical AI programs are
based on symbolic models of disease entities and
their relationship to patient factors and clinical
manifestations. Clancey and Shortliffe, 1984
Currently:
1. Less emphasis on diagnosis
2. AI has poor fit for the clinical situation
3. No ultimately useful measurements for
intelligence (Alan Turing)
4. ‘Turing’ Test: Can you tell the difference?
5. Where can it be best utilized?
100 Years after Turing’s Birth
• Alan Turing’s contention now proven: UTexas
game bot: AI 57%: Human 40%
• http://www.sciencedaily.com/releases/2012
/09/120926133235.htm?utm_source=feedbu
rner&utm_medium=email&utm_campaign=F
eed%3A+sciencedaily%2Ftop_news%2Ftop_s
cience+%28ScienceDaily%3A+Top+News+-+Top+Science%29