Promoting Ethical Awareness in Communication Analysis : Investigating Potentials and Limits of Visual Analytics for Intelligence Applications

Thumbnail Image
Date
2022
Editors
Contact
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
DOI (citable link)
ArXiv-ID
International patent number
Link to the license
EU project number
Project
Open Access publication
Restricted until
Title in another language
Research Projects
Organizational Units
Journal Issue
Publication type
Contribution to a conference collection
Publication status
Published
Published in
Proceedings of FAcct '22 : 2022 ACM Conference on Fairness, Accountability, and Transparency. - New York, NY : ACM, 2022. - pp. 877-889. - ISBN 978-1-4503-9352-2
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 for designing and operating meaningful interactive communication analysis systems that consider these ethical challenges. In this interdisciplinary work, a joint endeavor of computer scientists, ethicists, and scholars in Science & Technology Studies, we investigate and evaluate opportunities and risks involved in using Visual analytics approaches for communication analysis in intelligence applications in particular. We introduce, at first, the common technological systems used in communication analysis, further discussing the domain-specific ethical implications, tensions, and risks involved. We then make the case of how tailored Visual Analytics approaches may reduce and mitigate the described problems, both theoretically and through practical examples. We show that finding Visual Analytics design solutions for ethical issues is not a mere optimization task, but balancing out and negotiating these trade-offs has, as we argue, to be an integral aspect of the system design process from the outset.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
Communication Analysis, Visual Analytics, Intelligence Analysis, Ethic Awareness, Science & Technology Studies, Critical Algorithm Studies, Critical Data Studies, Machine Learning, Interdisciplinary Research
Conference
FAcct '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Jun 21, 2022 - Jun 24, 2022, Seoul, Republic of Korea
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690FISCHER, Maximilian T., Simon David HIRSBRUNNER, Wolfgang JENTNER, Matthias MILLER, Daniel A. KEIM, Paula HELM, 2022. Promoting Ethical Awareness in Communication Analysis : Investigating Potentials and Limits of Visual Analytics for Intelligence Applications. FAcct '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. Seoul, Republic of Korea, Jun 21, 2022 - Jun 24, 2022. In: Proceedings of FAcct '22 : 2022 ACM Conference on Fairness, Accountability, and Transparency. New York, NY:ACM, pp. 877-889. ISBN 978-1-4503-9352-2. Available under: doi: 10.1145/3531146.3533151
BibTex
@inproceedings{Fischer2022Promo-57021.2,
  year={2022},
  doi={10.1145/3531146.3533151},
  title={Promoting Ethical Awareness in Communication Analysis : Investigating Potentials and Limits of Visual Analytics for Intelligence Applications},
  isbn={978-1-4503-9352-2},
  publisher={ACM},
  address={New York, NY},
  booktitle={Proceedings of FAcct '22 : 2022 ACM Conference on Fairness, Accountability, and Transparency},
  pages={877--889},
  author={Fischer, Maximilian T. and Hirsbrunner, Simon David and Jentner, Wolfgang and Miller, Matthias and Keim, Daniel A. and Helm, Paula}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/57021.2">
    <dc:creator>Hirsbrunner, Simon David</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:issued>2022</dcterms:issued>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:creator>Helm, Paula</dc:creator>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/57021.2"/>
    <dc:creator>Jentner, Wolfgang</dc:creator>
    <dc:contributor>Helm, Paula</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Jentner, Wolfgang</dc:contributor>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57021.2/3/Fischer_2-1k88lb90law7h8.pdf"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-06-21T14:38:23Z</dcterms:available>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-06-21T14:38:23Z</dc:date>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Miller, Matthias</dc:creator>
    <dc:language>eng</dc:language>
    <dcterms:abstract xml:lang="eng">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 for designing and operating meaningful interactive communication analysis systems that consider these ethical challenges. In this interdisciplinary work, a joint endeavor of computer scientists, ethicists, and scholars in Science &amp; Technology Studies, we investigate and evaluate opportunities and risks involved in using Visual analytics approaches for communication analysis in intelligence applications in particular. We introduce, at first, the common technological systems used in communication analysis, further discussing the domain-specific ethical implications, tensions, and risks involved. We then make the case of how tailored Visual Analytics approaches may reduce and mitigate the described problems, both theoretically and through practical examples. We show that finding Visual Analytics design solutions for ethical issues is not a mere optimization task, but balancing out and negotiating these trade-offs has, as we argue, to be an integral aspect of the system design process from the outset.</dcterms:abstract>
    <dc:creator>Fischer, Maximilian T.</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57021.2/3/Fischer_2-1k88lb90law7h8.pdf"/>
    <dcterms:title>Promoting Ethical Awareness in Communication Analysis : Investigating Potentials and Limits of Visual Analytics for Intelligence Applications</dcterms:title>
    <dc:rights>terms-of-use</dc:rights>
    <dc:contributor>Fischer, Maximilian T.</dc:contributor>
    <dc:contributor>Hirsbrunner, Simon David</dc:contributor>
    <dc:contributor>Miller, Matthias</dc:contributor>
  </rdf:Description>
</rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Contact
URL of original publication
Test date of URL
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
Yes
Refereed

Version History

Now showing 1 - 2 of 2
VersionDateSummary
2*
2022-06-21 10:40:57
published version
2022-03-28 12:13:04
* Selected version