The Turing test, developed by Alan Turing in 1950, is a test of a machine’s ability to exhibit intelligent behaviour indistinguishable from a human. Many think that Turing’s proposal for intelligence, especially creativity, has been proven inadequate. Is the Lovelace test a better alternative? What are the capabilities and limitations of AI? Robert J. Marks and Dr. Selmer Bringsjord discuss Read More ›
Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about nature and limitations of artificial intelligence from a computer science perspective including the misattribution of creativity and understanding to computers. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this Read More ›
There are some who say immortality is available if we can upload our minds to a computer. This presupposes our minds are computable and can be duplicated by a computer. Are our minds computable? Robert J. Marks and Dr. Selmer Bringsjord discuss consciousness, cognition, and artificial intelligence. Show Notes 00:39 | Introducing Selmer Bringsjord, Professor — Rensselaer Polytechnic Institute (RPI) Read More ›
Those dealing with data must always remember “If you torture data long enough, it will confess to anything.” The answers that computers give must themselves be questioned. Robert J. Marks and Gary Smith address artificial intelligence, spurious correlations, and data research on Mind Matters. Show Notes 01:34 | Introduction to Gary Smith, the Fletcher Jones Professor of Economics at Pomona Read More ›
Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about the misattribution of creativity and understanding to computers. This is Part 2 of 2 parts. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this podcast on Mind Matters. Show Read More ›
Simpson’s Paradox illustrates the need for seasoned human experts in the loop to examine and query the results from Big Data. Could AI be written to perform this operation? Those who say yes are appealing to an algorithm-of-the-gaps.
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