How governments handle data matters for inclusion
(phys.org)
TLDR; Summary
Researchers highlight bias in predictive policing due to inaccurate data
Governments rely on data for services like mobility, welfare, and policing
Algorithms and AI change how governments use data for public services
Data handling affects equity, inclusion, and outcomes for communities
Government data practices divided into data collection, storage, analysis, and use
Poor-quality data worsens inequalities and can lead to oversurveillance
Storage decisions can unintentionally restrict citizen access to services
Analysis by external experts may reinforce inequalities
Data use can lead to disproportionate surveillance and misuse
Building inclusion into data practices requires ethical reflection and diverse voices
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