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I survey four viewpoints about what AI is. I describe a program exhibiting AI as one that can change as a result of interactions with the user. Such a program would have to process hundreds or thousands of examples as opposed to a handful. Because AI is a machine's attempt to explain the behavior of the (human) system it is trying to model, the ability of a program design to scale up is critical. Researchers need to face the complexities of scaling up to programs that actually serve a purpose.<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v12i4.917">doi:10.1609/aimag.v12i4.917</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/journals/aim/Schank91.html">dblp:journals/aim/Schank91</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oq5nnoik55fm7op5q4dg6fhgz4">fatcat:oq5nnoik55fm7op5q4dg6fhgz4</a> </span>
more »... he move from toy domains into concrete ones has three big consequences for the development of AI. First, it will force software designers to face the idiosyncrasies of its users. Second, it will act as an important reality check between the language of the machine, the software, and the user. Third, the scaled-up programs will become templates for future work.
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