带有偏见的C4I应用中的知识图和机器学习 (Knowledge Graphs and Machine Learning in biased C4I applications)

This paper introduces our position on the critical issue of bias that recently appeared in AI applications. Specifically, we discuss the combination of current technologies used in AI applications i.e., Machine Learning and Knowledge Graphs, and point to their involvement in (de)biased applications of the C4I domain. Although this is a wider problem that currently emerges from different application domains, bias appears more critical in C4I than in others due to its security-related nature. While proposing certain actions to be taken towards debiasing C4I applications, we acknowledge the immature aspect of this topic within the Knowledge Graph and Semantic Web communities.

翻译：本文介绍了我们对最近在AI应用中出现的偏见这一关键问题的立场。具体地说,我们讨论了在AI应用中使用的当前技术的结合,即机器学习和知识图,并指出这些技术参与了C4I域的(不)有偏见的应用。虽然这是目前不同应用领域出现的一个更广泛的问题,但C4I的偏见因其与安全有关的性质而显得比其它领域更为严重。我们虽然建议采取某些行动来消除C4I应用中的偏见,但我们承认在知识图和语义网络社区中这个专题的不成熟方面。