I’m going to have to insist …

Copyright 2020, InterAmerica, Inc.

I’ve dug out a number of books I have on AI, but let me concentrate on one I’ve subjected to discussion here, in the past:

Nick Bostrom’s SuperIntelligence: Paths, Dangers, Strategies [Oxford University Press, 2014]

It’s a must-read to proceed with any intelligence here. I quote from Nick’s Afterword, Page 324:

“ … I will just make one little remark – directed to new owners of this paperback edition, and principally to those whose lives have become so busy that they have ceased to actually read the books they buy, except perhaps for a glance at the table of contents and the stuff at the front and toward the back: namely, to point out … one cannot infer from a simple page count what I believe. For instance, I dwell on risks more than on potential upsides … this does not mean that I dismiss multipolar scenarios … [or] how the control problem [of AI[  might be hard … but could equally turn out to be easy.” [2015]

If you want to proceed with this topic (and discussion) make sure you’re providing some input from “experts” or notables who’ve dealt with or are dealing with AI, currently if possible.

Don’t offer Ted Talks or YouTube videos and certainly no internet links unless they are from reputable sources.

Here are a few papers you might peruse:

https://cse.buffalo.edu/faculty/shapiro/Courses/CSE563/Slides/
krrSlides.pdf

https://www.sfbtr8.spatial-cognition.de/aigaion/index.php/attachments/single/010%20FUZZY-Handbook%20of%20Artifical%20Intelligence.pdf

https://www.researchgate.net/profile/Peter_Cheeseman2/publication/
24154867_Introduction_to_artificial_intelligence/links/56eae3ae08aec
6b500166171.pdf

(The beginning of AI research is as important as the present day’s outlines because prior thinking that has been discarded, and the reasons for doing so, important to know so as to not replow that ground again.)

RR