What can Analysis of the Organizations’ Web Sites tell us about AI? Comparative Study of the Online Resources operated at Google, Yandex, and Baidu

Q3 Social Sciences
A. Rezaev, N. Tregubova
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引用次数: 0

Abstract

The current social and cultural debates on AI and how it is being embedded into the reality of social life have reignited scientific debates on how to study AI, what counts as data, and the conditions under which information and data pertaining AI turn into knowledge. In this paper the authors’ focus was exploring new sources of data on AI and methods of AI phenomena examination. The paper presents the results of a comparative analysis of Google, Yandex, and Baidu’s websites. Contrary to these companies commonly being perceived as online search engines, Google, Baidu, and Yandex have multiple offerings across mobile products and services, knowledge products, translation services, open platforms for startups, PC client software and AI technologies. In the first part of the paper the authors compare information presented on these companies’ websites about their goals, their technologies, how they define AI, the proclaimed social problems associated with using AI, and the forms of interaction between these companies and their audiences. The second part of the paper analyzes 20 projects that won the Google AI Impact Challenge contest. Analyzing these projects allowed for identifying areas of application of AI technologies inside and outside organizations, for characterizing AI’s potential roles as a mediator in relations between people, and finally for highlighting utopian and dystopian scenarios associated with implementing AI in social relations. In the conclusion the authors formulate a set of broader questions for social analytics concerning artificial intelligence grounded in the results of their analysis.
对组织网站的分析能告诉我们关于人工智能的什么信息?b谷歌、Yandex、百度在线资源运营比较研究
当前关于人工智能及其如何融入社会生活现实的社会和文化辩论,重新引发了关于如何研究人工智能、什么是数据以及与人工智能相关的信息和数据转化为知识的条件的科学辩论。在这篇论文中,作者的重点是探索人工智能的新数据来源和人工智能现象检查方法。本文介绍了对谷歌、Yandex和百度网站的比较分析结果。与这些通常被视为在线搜索引擎的公司相反,谷歌、百度和Yandex在移动产品和服务、知识产品、翻译服务、初创公司开放平台、PC客户端软件和人工智能技术方面拥有多种产品。在论文的第一部分,作者比较了这些公司网站上提供的信息,包括他们的目标、技术、如何定义人工智能、与使用人工智能相关的社会问题,以及这些公司与其受众之间的互动形式。论文的第二部分分析了赢得谷歌人工智能影响力挑战赛的20个项目。通过分析这些项目,可以确定组织内外人工智能技术的应用领域,描述人工智能在人与人之间关系中的潜在中介作用,并最终突出与在社会关系中实施人工智能相关的乌托邦和反乌托邦场景。在结论中,作者根据分析结果为社会分析提出了一系列关于人工智能的更广泛的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sotsiologicheskiy Zhurnal
Sotsiologicheskiy Zhurnal Social Sciences-Social Sciences (all)
CiteScore
0.90
自引率
0.00%
发文量
29
审稿时长
37 weeks
期刊介绍: “Sotsiologicheskij Zhurnal” publishes the articles on sociological disciplines. Interdisciplinary studies in sociology and related disciplines, such as social psychology, cultural studies, anthropology, ethnography, etc. — are also welcomed. The main emphasis is on the fundamental research in the field of theory, methodology and history of sociology. The regular rubric highlights the results of mass surveys and case studies. The rubric “Discussion”, which debated the controversial issues of sociological research, is regular as well. The journal publishes book reviews, and summaries, as well as lists of new books in Russian and English, which represent the main areas of interdisciplinary research in the social sciences. The journal aims to not only play samples of knowledge, considered regulatory and standards of internal expertise in the professional community, but also aims for opportunities to improve them. These rules, a tough selection and decision to print only a small portion of incoming materials allow “Sotsiologicheskij Zhurnal” contribute to improving the quality of sociological research. Submitted manuscripts should show a high integrity in problem setting, problem analysis and correspond to the journal’s thematic profile and its scientific priorities.
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