Emergent Virtual Analytics: Artificial Intelligence and Human-Computer Interactions.
The primary focus of this article is a general discussion of the theory and development of artificial intelligence (AI) systems and their expanding implications for human interactions and socioeconomic issues. We provide an overview of AI origins and the ubiquitous forms of AI that now saturate our...
| Publicado en: | Behavior & Social Issues Vol. 29; no. 1; pp. 100 - 119 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jan2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=147268821&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 147268821 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10649506 G26 jtl: Behavior & Social Issues issn: 10649506 maglogo: N pubinfo: dt: Jan2020 vid: 29 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 147268821 10.1007/s42822-020-00031-1 ppf: 100 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P size: 603KB tig: atl: Emergent Virtual Analytics: Artificial Intelligence and Human-Computer Interactions. aug: au: Ninness, Chris Ninness, Sharon K. affil: Behavioral Software Systems, 2207 Pinecrest Dr., 75965, Nacogdoches, TX, USA Texas A&M University--Commerce, 2207 Pinecrest Dr., 75965, Nacogdoches, TX, USA su: European Union Artificial intelligence Human-computer interaction Social responsibility of business Social interaction sug: subj: Artificial intelligence Human-computer interaction Social responsibility of business Social interaction European Union keyword: Combinatorial entailment Deep learning Deep neural network Machine bias Multilayer perceptron Combinatorial entailment Deep learning Deep neural network Machine bias Multilayer perceptron ab: The primary focus of this article is a general discussion of the theory and development of artificial intelligence (AI) systems and their expanding implications for human interactions and socioeconomic issues. We provide an overview of AI origins and the ubiquitous forms of AI that now saturate our culture, and we discuss the many ways AI is likely to continue to have a pervasive influence on every aspect of our lives. In a separate but directly related article in this issue, we provide an experimental analysis of a current version of an AI in the form of a deep neural network, and we describe how it is able to model and forecast human learning. Throughout this article, we attempt to link common elements in both articles. However, in this article, the emphasis is on a comparison of how cloud-based AI systems impact U.S. citizens and citizens of the European Union in terms of individual rights, security, equitable access, inadvertent machine discrimination, and corporate responsibilities. We note that although AI offers researchers throughout academic disciplines fascinating and previously unimagined explorations and critically important research possibilities, there are areas in which AI systems may be unscrupulously misused. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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