Speaking on Behalf of: Representation, Delegation, and Authority in Computational Text Analysis

Speaking on Behalf of: Representation, Delegation, and Authority in Computational Text Analysis
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代表发言:计算文本分析中的代表、委托和权威

DOI:
10.1145/3306618.3314292
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发表时间:
2019
期刊:
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
影响因子:
--
通讯作者:
M. McGee
M. McGee
中科院分区:
--
文献类型:
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作者:
E. Baumer;M. McGee

文献摘要

被引文献

相似文献

计算工具通常可以通过快速汇总大量数据(尤其是文本)来促进人类工作。这样做可以向此类模型授予一定程度的权力,让其代表那些正在分析数据的人发言。本文考虑了这种授权的后果。它利用表征和翻译的社会学解释来研究一个特殊案例:主题建模在自闭症谱系儿童父母撰写的博客中的应用。在此过程中,本文阐述了主题模型和其他计算技术可以代表人们做出的各种陈述。它还阐明了此类言论的一些潜在后果。该论文最后提出了一些关于如何解决计算模型代表某人说话时可能发生的潜在危害的建议。
Computational tools can often facilitate human work by rapidly summarizing large amounts of data, especially text. Doing so delegates to such models some measure of authority to speak on behalf of those people whose data are being analyzed. This paper considers the consequences of such delegation. It draws on sociological accounts of representation and translation to examine one particular case: the application of topic modeling to blogs written by parents of children on the autism spectrum. In doing so, the paper illustrates the kinds of statements that topic models, and other computational techniques, can make on behalf of people. It also articulates some of the potential consequences of such statements. The paper concludes by offering several suggestions about how to address potential harms that can occur when computational models speak on behalf of someone.