Knowledge Graphs and Machine Learning in biased C4I applications

Evangelos Paparidis; Konstantinos Kotis

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arXiv · 2106.09258

Knowledge Graphs and Machine Learning in biased C4I applications

Evangelos Paparidis·Konstantinos Kotis

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Abstract

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.

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Evangelos Paparidis, Konstantinos Kotis. 2021-06-17. Knowledge Graphs and Machine Learning in biased C4I applications. https://arxiv.org/abs/2106.09258

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