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	<title>Comments on: It&#8217;s not AI but&#8230;</title>
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	<description>James Taylor on Everything Decision Management</description>
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		<title>By: Valentin</title>
		<link>http://jtonedm.com/2008/12/10/its-not-ai-but/comment-page-1/#comment-11676</link>
		<dc:creator>Valentin</dc:creator>
		<pubDate>Thu, 11 Dec 2008 10:07:22 +0000</pubDate>
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		<description>The whole trouble with using the term &#039;AI&#039; in such a discussion is, that AI is best understood as that part of computer science that is pushing the boundaries of what computers are able to do further and further into the realm of things only humans (and some animals) were thought to be capable of. For this reason things that are well understood usually move out of AI and only the unsolved problems remain. For example - systems making decision by applying high level rules would have been considered impossible (by most people) 60 years back, were AI 40 years back and are now (at least partly) part of normal computer science. Same with the machine learning algorithms that underpin such applications as netflix recommendations or your predictive models.</description>
		<content:encoded><![CDATA[<p>The whole trouble with using the term &#8216;AI&#8217; in such a discussion is, that AI is best understood as that part of computer science that is pushing the boundaries of what computers are able to do further and further into the realm of things only humans (and some animals) were thought to be capable of. For this reason things that are well understood usually move out of AI and only the unsolved problems remain. For example &#8211; systems making decision by applying high level rules would have been considered impossible (by most people) 60 years back, were AI 40 years back and are now (at least partly) part of normal computer science. Same with the machine learning algorithms that underpin such applications as netflix recommendations or your predictive models.</p>
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