Artifictional intelligence : against humanity's surrender to computers / Harry Collins.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- unmediated
- volume
- 9781509504114
- 1509504117
- 9781509504121
- 1509504125
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | Item holds | |
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Main Library | NonFiction | 006.301 C712 | Available | 33111009250545 |
Enhanced descriptions from Syndetics:
Recent startling successes in machine intelligence using a technique called 'deep learning' seem to blur the line between human and machine as never before. Are computers on the cusp of becoming so intelligent that they will render humans obsolete? Harry Collins argues we are getting ahead of ourselves, caught up in images of a fantastical future dreamt up in fictional portrayals. The greater present danger is that we lose sight of the very real limitations of artificial intelligence and readily enslave ourselves to stupid computers: the 'Surrender'.
By dissecting the intricacies of language use and meaning, Collins shows how far we have to go before we cannot distinguish between the social understanding of humans and computers. When the stakes are so high, we need to set the bar higher: to rethink 'intelligence' and recognize its inherent social basis. Only if machine learning succeeds on this count can we congratulate ourselves on having produced artificial intelligence.
Includes bibliographical references and index.
Startling successes in machine intelligence using 'deep learning' have dramatically raised the stakes in the rise of AI. However, Harry Collins argues that it is still impossible to foresee a time when machines will be sufficiently embedded in society to be independent of human input or when we cannot distinguish between humans and computers-- Provided by publisher.
Computers in social life and the danger of the surrender -- Expertise and writing about AI : some reflections on the project -- Language and repair -- Humans, social contexts and bodies -- Six levels of artificial intelligence -- Deep learning : precedent-based, pattern-recognizing computers -- Kurzweil's brain and the sociology of knowledge -- How humans learn what computers can't -- Two models of artificial intelligence and the way forward -- The editing test and other new versions of the Turing test.