让不可见变为可见

L. Possati
{"title":"让不可见变为可见","authors":"L. Possati","doi":"10.5840/TECHNE2021423136","DOIUrl":null,"url":null,"abstract":"In today’s society the use of new technologies for data visualizations is becoming increasingly widespread. This article seeks neither to give a complete view of its history nor an exhaustive definition of the phenomenon of data visualization. This article takes a new perspective on data visualization by dealing only with a new type of data visualizations, those based on “Big Data” and AI systems. This perspective is completely different from existing ones. Therefore, I explore three main theses: (a) that AI systems applied to large amounts of data that we cannot directly know (so-called “Big Data”) can create “living” and interactive images with a multifaceted nature and efficacy (epistemic, phenomenal, and subjective); (b) that this new type of data visualizations is deeply linked to the so-called “iconic turn” trend in the field of social sciences because many of the theses of the “iconic turn” are confirmed and even reinforced by these data visualizations; (c) that through the production of “living” images, digital technologies demonstrate their ability to re-define and re-configure our experience and re-ontologize reality by creating new entities requiring new philosophical tools to be fully understood. I focus mainly on this third thesis by stressing the hermeneutical function of data visualization.","PeriodicalId":123735,"journal":{"name":"Techné: Research in Philosophy and Technology","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Making the Invisible Visible\",\"authors\":\"L. Possati\",\"doi\":\"10.5840/TECHNE2021423136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today’s society the use of new technologies for data visualizations is becoming increasingly widespread. This article seeks neither to give a complete view of its history nor an exhaustive definition of the phenomenon of data visualization. This article takes a new perspective on data visualization by dealing only with a new type of data visualizations, those based on “Big Data” and AI systems. This perspective is completely different from existing ones. Therefore, I explore three main theses: (a) that AI systems applied to large amounts of data that we cannot directly know (so-called “Big Data”) can create “living” and interactive images with a multifaceted nature and efficacy (epistemic, phenomenal, and subjective); (b) that this new type of data visualizations is deeply linked to the so-called “iconic turn” trend in the field of social sciences because many of the theses of the “iconic turn” are confirmed and even reinforced by these data visualizations; (c) that through the production of “living” images, digital technologies demonstrate their ability to re-define and re-configure our experience and re-ontologize reality by creating new entities requiring new philosophical tools to be fully understood. I focus mainly on this third thesis by stressing the hermeneutical function of data visualization.\",\"PeriodicalId\":123735,\"journal\":{\"name\":\"Techné: Research in Philosophy and Technology\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Techné: Research in Philosophy and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5840/TECHNE2021423136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Techné: Research in Philosophy and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5840/TECHNE2021423136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在当今社会中,使用新技术进行数据可视化正变得越来越普遍。本文既不试图给出其历史的完整视图,也不试图给出数据可视化现象的详尽定义。本文从一个新的角度来看待数据可视化,只涉及一种新型的数据可视化,即基于“大数据”和人工智能系统的数据可视化。这种观点与现有观点完全不同。因此,我探讨了三个主要论点:(a)应用于我们无法直接知道的大量数据(所谓的“大数据”)的人工智能系统可以创建具有多面性和功效(认知、现象和主观)的“生活”和互动图像;(b)这种新型的数据可视化与社会科学领域所谓的“标志性转向”趋势有着深刻的联系,因为“标志性转向”的许多论点都得到了这些数据可视化的证实甚至加强;(c)通过生产“活生生的”图像,数字技术通过创造需要新的哲学工具来充分理解的新实体,展示了它们重新定义和重新配置我们的经验和重新本体化现实的能力。通过强调数据可视化的解释学功能,我主要关注第三篇论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Making the Invisible Visible
In today’s society the use of new technologies for data visualizations is becoming increasingly widespread. This article seeks neither to give a complete view of its history nor an exhaustive definition of the phenomenon of data visualization. This article takes a new perspective on data visualization by dealing only with a new type of data visualizations, those based on “Big Data” and AI systems. This perspective is completely different from existing ones. Therefore, I explore three main theses: (a) that AI systems applied to large amounts of data that we cannot directly know (so-called “Big Data”) can create “living” and interactive images with a multifaceted nature and efficacy (epistemic, phenomenal, and subjective); (b) that this new type of data visualizations is deeply linked to the so-called “iconic turn” trend in the field of social sciences because many of the theses of the “iconic turn” are confirmed and even reinforced by these data visualizations; (c) that through the production of “living” images, digital technologies demonstrate their ability to re-define and re-configure our experience and re-ontologize reality by creating new entities requiring new philosophical tools to be fully understood. I focus mainly on this third thesis by stressing the hermeneutical function of data visualization.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信