The Mind’s Mirror Review Part Two: Fundamentals

This is part two of the review of “The Mind’s Mirror” by Daniela Rus and Gregory Mone

In Part Two of “The Mind ’s Mirror”, the authors go over the fundamentals that provide the groundwork for all of these new kinds of AI applications. Rus starts with distinguishing artificial intelligence from machine learning, noting that the artificial intelligence process is meant to mirror human cognitive behavior, where machine learning is more of a procedural objective based on algorithm and probability.

“A model might be able to generate something that looks like, and at times reads like, a book, because it has ingested and studied the patterns between words and sentences and paragraphs in many similar or even loosely related passages out there on the web – yet it would not be representative of my ideas or opinions about the current and future states of this technology.”... getty

Moving into a section on decisions, Rus once again makes the distinction between artificial intelligence and machine learning, while conceding that there is some intersection between the two. First, there’s a distinction between three levels of AI use – assisted, augmented and automated processes.In the ‘assist’ column, the artificial intelligence program is mostly just helping the human to gather more information more quickly.NASA technician prepares a data report using Differential Analyzer at the Lewis Flight PropulsionLaboratory, Cleveland, Ohio, June 5, 1951. Image courtesy National Aeronautics and Space Administration .

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