谷歌的双面机器人:假装人类*

Q1 Economics, Econometrics and Finance Intelligent Systems in Accounting, Finance and Management Pub Date : 2019-03-25 DOI:10.1002/isaf.1443
Daniel E. O'Leary
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引用次数: 26

摘要

谷歌的Duplex是一个基于计算机的系统,具有自然语言能力,在执行一系列任务(比如预订餐厅)时,可以提供听起来像人类的对话。本文分析了Google的Duplex系统,以及对该系统的一些初步反应和它的功能。本文对文本进行了分析,发现系统生成的文本创建了标准化的评级,表明文本是分析性的,真实的,具有普遍积极的语气。正如使用它的应用程序所期望的那样,文本主要集中在当前。此外,这一分析表明,文本提供了社会过程、认知过程、试探性和隶属关系的证据。此外,本文还研究了Duplex用来听起来像人的一些语音特征。这些能力似乎可以让系统通过图灵测试来完成一些结构良好的任务。然而,本文调查了假装人类的一些道德规范,并提出这种模仿是违反不断发展的计算机道德规范的。
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GOOGLE'S Duplex: Pretending to be human*

Google's Duplex is a computer-based system with natural language capabilities that provides a human sounding conversation as it performs a set of tasks, such as making restaurant reservations. This paper analyses Google's Duplex and some of the initial reaction to the system and its capabilities. The paper does a text analysis and finds that the system-generated text creates standardized ratings that suggest the text is analytical, authentic and possesses a generally positive tone. As would be expected for the applications for which it is being used, the text is heavily focused on the present. In addition, this analysis indicates that the text provides evidence of social processes, cognitive processes, tentativeness and affiliation. Further, this paper examines some of the characteristics of speech that Duplex uses to sound human. Those capabilities appear to allow the system pass the Turing test for some well-structured tasks. However, this paper investigates some of the ethics of pretending to be human and suggests that such impersonation is against evolving computer codes of ethics.

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来源期刊
Intelligent Systems in Accounting, Finance and Management
Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance
CiteScore
6.00
自引率
0.00%
发文量
0
期刊介绍: Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.
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