The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do
(eAudiobook)

Book Cover
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Published
Tantor Media, Inc., 2021.
ISBN
9781666145595
Status
Available Online

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Physical Description
10h 9m 0s
Format
eAudiobook
Language
English

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Citations

APA Citation, 7th Edition (style guide)

Erik J. Larson., Erik J. Larson|AUTHOR., & Perry Daniels|READER. (2021). The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do . Tantor Media, Inc..

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Erik J. Larson, Erik J. Larson|AUTHOR and Perry Daniels|READER. 2021. The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do. Tantor Media, Inc.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Erik J. Larson, Erik J. Larson|AUTHOR and Perry Daniels|READER. The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do Tantor Media, Inc, 2021.

MLA Citation, 9th Edition (style guide)

Erik J. Larson, Erik J. Larson|AUTHOR, and Perry Daniels|READER. The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do Tantor Media, Inc., 2021.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID0a314f24-fbc1-95ed-4081-be93b96f817c-eng
Full titlemyth of artificial intelligence why computers can t think the way we do
Authorlarson erik j
Grouping Categorybook
Last Update2024-03-27 21:55:45PM
Last Indexed2024-03-28 02:55:20AM

Book Cover Information

Image Sourcehoopla
First LoadedApr 10, 2023
Last UsedMar 25, 2024

Hoopla Extract Information

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    [synopsis] => Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be.

Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence, and what it would take to get there. Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. This is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets: we make conjectures informed by context and experience. Human intelligence is a web of best guesses, given what we know about the world. We haven't a clue how to program this kind of intuitive reasoning, known as abduction. Yet it is the heart of common sense. That's why Alexa can't understand what you are asking, and why AI can only take us so far.

Larson argues that AI hype is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know-our own.
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