Knowledge Graphs and Machine Learning in biased C4I applications
It highlights a bias problem in C4I applications for security and AI communities, but is incremental as it builds on existing concerns without new solutions.
The paper addresses the critical issue of bias in AI applications, specifically focusing on the combination of Machine Learning and Knowledge Graphs in the C4I domain, and proposes actions for debiasing due to its security-related nature.
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.