Cultural science : applications of artificial social intelligence / William Sims Bainbridge, PhD.
Material type: TextSeries: Collaborative intelligence collectionPublisher: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, [(c)2020.]Edition: First editionDescription: 1 online resource (212 pages) : illustrations (some color)Content type:- text
- computer
- online resource
- 9781951527594
- QA76.9.H85
- COPYRIGHT NOT covered - Click this link to request copyright permission: https://lib.ciu.edu/copyright-request-form
Item type | Current library | Collection | Call number | URL | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) | G. Allen Fleece Library ONLINE | QA76.9.H85 (Browse shelf(Opens below)) | Link to resource | Available | BEP9781951527594 | |||
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) | G. Allen Fleece Library | Non-fiction | QA76.9.H85 (Browse shelf(Opens below)) | Link to resource | Available | 9781951527594 |
Includes bibliographies and index.
Chapter 1. Convergence of humanities, social science, and information science -- Chapter 2. Recommender systems as a collaborative form of ASI -- Chapter 3. Modernizing questionnaire survey research and ethnography -- Chapter 4. Computer simulations and creative theory -- Chapter 5. Revolutionary revaluation of literature -- Chapter 6. Denotation, connotation, transcendence, and translation -- Chapter 7. Challenges and responses for public policy and investment.
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During this time in history when the world is undergoing great and uncertain change, it is worth reconsidering the relationships connecting computer science, social science, and the humanities. One popular form of artifcial social intelligence, namely recommender systems, can become a far more valuable tool for research on the arts, beginning with movies and computer games, then extending to all the other art forms. Survey research using questionnaires is well established, but social media offer great improvements in both methodology and application. It is time also for a revival of computer simulation as a tool for development of rigorous theories of social interaction, both abstractly and in human experience of virtual worlds. The study of literature is a major focus of education, yet it needs creative modernization, both to make use of computer collection and analysis of data, and to include the vast new online medium of millions of works of amateur fiction. Industry and an enthusiastic social movement have oversold pure artificial intelligence, as for example illustrated by AI's failure to understand poetry, and we must develop the best methods for human use of the new technology. Together, these developments offer opportunities and challenges for both industry and gov-ernment policy. Unless artificial intelligence converges successfully with the social sciences and humanities, it will be justly accused of insincerity, exaggeration, extremely negative impacts, and subservience to the inhumane ambitions of technocrats and other societal elites.
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