Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications
Maximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner,, Matthias Miller, Daniel A. Keim, Paula Helm

TL;DR
This paper explores how visual analytics can ethically enhance communication analysis in intelligence, balancing automation benefits with privacy and bias risks through interdisciplinary insights.
Contribution
It introduces a framework for integrating ethical considerations into visual analytics design for communication intelligence systems.
Findings
Visual analytics can mitigate ethical risks in communication analysis.
Designing for ethics requires balancing trade-offs from the start.
Interdisciplinary approaches improve system ethicality.
Abstract
Digital systems for analyzing human communication data have become prevalent in recent years. Intelligence analysis of communications data in investigative journalism, criminal intelligence, and law present particularly interesting cases, as they must take into account the often highly sensitive properties of the underlying operations and data. At the same time, these are areas where increasingly automated, sophisticated approaches systems can be particularly relevant, especially in terms of Big Data manageability. However, by the shifting of responsibilities, this also poses dangers. In addition to privacy concerns, these dangers relate to uncertain or poor data quality, leading to discrimination and potentially misleading insights. Visual analytics combines machine learning methods with interactive visual interfaces to enable human sense- and decision-making. This technique can be key…
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