Abstract This article offers a quantitative method of realizing the responsible development of emerging technologies via text analysis of future-oriented web data and scientific publication data. Latent Semantic Analysis (LSA) is applied to group key terms based on their contextual similarity. It overlooks what people have in mind regarding social disruptions of new technologies and further provides technical directions of how pertinent human values could be translated into their design in order to prevent the ramifications from occurring. Such a clear-cut methodology may allow the developers of emerging technologies to consider social concerns and human norms alongside more typical engineering ideals.

中文翻译：

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以对社会负责的方式积极开发新兴技术：使用潜在语义分析的数据驱动问题解决过程

摘要 本文通过对面向未来的网络数据和科学出版物数据的文本分析，提供了一种实现新兴技术负责任发展的量化方法。潜在语义分析 (LSA) 用于根据上下文相似性对关键术语进行分组。它忽略了人们对新技术的社会破坏的看法，并进一步提供了如何将相关的人类价值观转化为他们的设计以防止产生后果的技术方向。这种明确的方法可能允许新兴技术的开发人员在考虑更典型的工程理想的同时考虑社会问题和人类规范。