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Can technology replace human intelligence?
This week in my Bioelectricity class we learned about extracellular fields. One facet of the study of extracellular field I find interesting is the determination of the field from a known source (AKA the Forward Problem) versus the determination of the source from a known field (AKA the Inverse Problem). Whereas the forward problem is simple and solutions may be obtained through calculations, the inverse problem poses a problem. The lack of uniqueness to the inverse problem means the solution requires interpretation, which may be subjective. We may also apply a mechanism for the interpretation; this mechanism is known as an AI. However, this facet of AI (document classification) is only the surface of the field.
Damon Horowitz gave a recent presentation at TEDxSoMa called “Why machines need people”. In it, he says that AI can never approach the intelligence of humans. He gives examples of AI systems, like classification and summarization. He explains that those systems are simply “pattern matching” without any intelligence behind them. If true, perhaps the subjective interpretation of inverse problems is welcomed over the dumb classification. Through experience, the interpreters may have more insight than one can impart on an algorithm.
However, what Damon failed to mention was that most of those AI systems built to do small tasks is known as weak AI. There is a whole other field of study for strong AI, whose methods of creating intelligence is much more than “pattern matching”. Proponents of strong AI believe that human intelligence can be replicated. Of course we are a long way off from seeing human-level AI. What makes human intelligence hard to replicate? Can it be simulated? What if we created a model of the human brain, would it be able to think?
Related Videos (not on Ted):
“Why Machines need People”
http://www.youtube.com/watch?v=1YdE-D_lSgI&feature=player_embedded
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Bastian Brandt
Howard Yee 50+
There're decades of AI and philosophical research that question the strong-ness and weakness of AI. At this point in time, the two camps are thriving, and we have no definitive answer. I would like to know other opinions to try and tease out this subject.
"The Mind's I" compiled by Douglas R. Hofstadter and Daniel C. Dennett contains a multitude of short stories and essays which are representative of the problem involved with determining the strength of AI. Both sides have very convincing arguments.
I am very much interested in why you think no.
Bastian Brandt
Howard Yee 50+
Marvin Liyanage
Bastian Brandt