Purpose of Mobility Data Usage and Risk Assessment: POSMO Ethical Data Market Case

This paper scrutinizes the complex risks associated with the utilization of mobility data, highlighting the ethical considerations and potential harm to individuals whose information is collected. It stresses the imperative of adhering to ethical standards in data usage, particularly the importance...

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Bibliographic Details
Published in2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) pp. 1 - 6
Main Author Yatsenko, Olena
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.08.2024
Subjects
"data colonialism"
automatization
data ethics
Data science
Decision making
Ethics
Information technology
Limiting
location tracking
mobility data
Public security
re-identification
Reliability
Stress
Transportation
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DOI10.1109/CITDS62610.2024.10791347

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Summary:This paper scrutinizes the complex risks associated with the utilization of mobility data, highlighting the ethical considerations and potential harm to individuals whose information is collected. It stresses the imperative of adhering to ethical standards in data usage, particularly the importance of alerting to and averting the risk of re-identification and other misuse forms. Further, the paper explores the ethical challenges and responsibilities tied to data usage, centering on POSMO, a data market platform committed to ethical practices. It underscores the decision-making process within the ethics committee as a vital, non-automatable element of ethical data usage, highlighting the significance of human empathy, an understanding of sociocultural contexts, and the evolving nature of moral standards. The paper presents a case against automating ethical decision-making, given the complexity, high dimensionality, and context-sensitive nature of mobility data that necessitates meticulous integration with current systems and infrastructure. Moreover, the paper details the objectives behind POSMO's use of mobility data, from enhancing transportation systems to ensuring public safety, and stresses the importance of limiting purposes to protect the privacy and autonomy of data subjects. This conscientious data usage approach is crucial for upholding accountability, reducing data collection, and avoiding misuse, thereby leading to more transparent, reliable, and ethically oriented data management practices.
DOI:10.1109/CITDS62610.2024.10791347