Philosophy Dictionary of Arguments

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Machine learning: Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values. See also Artificial Intelligence, Deep learning, Strong Artificial Intelligence, Learning.
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Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments.

 
Author Concept Summary/Quotes Sources

Steven Pinker on Machine Learning - Dictionary of Arguments

Brockman I 110
Machine Learning/Pinker: Despite the progress in machine learning, particularly multilayered artificial neural networks, current AI systems are nowhere near achieving general intelligence (if that concept is even coherent). Instead, they are restricted to problems that consist of mapping well-defined inputs to well-defined outputs (…).
Many of the successes come not from a better understanding of the workings of intelligence but from the brute-force power of faster chips and Bigger Data, which allow the programs to be trained on millions of examples and generalize to similar new ones. Each system is an idiot savant, with little ability to leap to problems it was not set up to solve and a brittle mastery of those it was. - VsPinker: >Artificial intelligence/Dennett
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Pinker: (…) to state the obvious, none of these programs has made a move toward taking over the lab or enslaving its programmers.


Pinker, S. “Tech Prophecy and the Underappreciated Causal Power of Ideas” in: Brockman, John (ed.) 2019. Twenty-Five Ways of Looking at AI. New York: Penguin Press.

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Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments
The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.

Pi I
St. Pinker
How the Mind Works, New York 1997
German Edition:
Wie das Denken im Kopf entsteht München 1998

Brockman I
John Brockman
Possible Minds: Twenty-Five Ways of Looking at AI New York 2019


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