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Jennifer Tang & Kyle Hiebert: The Promises and Perils of Predictive Policing

  • Predictive policing, powered by AI tools, is being embraced by police departments globally to combat complex threats and improve efficiency.
  • While these technologies offer benefits like crime prevention and resource optimization, they also raise ethical concerns and privacy issues.
  • Algorithms are used to predict crime occurrences by analyzing historical data, social media content, biometrics, and demographic indicators.
  • Advances in predictive policing have shown success in various real-world cases, such as tracking missing persons and reducing crime impacts in cities.
  • However, critics warn that these tools could lead to discrimination, harassment, and violations of individual liberties if not regulated properly.
  • Countries like the UAE and China are at the forefront of using advanced technologies for law enforcement and surveillance.
  • In liberal democracies, predictive policing tools have also been adopted, raising concerns about privacy, discrimination, and misuse.
  • Efforts are emerging to regulate these tools in democratic societies, with recommendations for transparency, accountability, and community consultations.
  • Regulations like the EU Artificial Intelligence Act and policy suggestions aim to set boundaries for the use of AI in predictive policing.
  • Balancing the benefits and risks of predictive policing will be crucial for ensuring public safety while safeguarding individual rights and privacy.

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