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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