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Predictive Police Actions Against Extreme Violence: Strengthening Police Intelligence - The Brazilian Case

This study delves into the vital importance of enhancing police intelligence to effectively counteract extreme violence, underscoring the necessity for advanced predictive measures against severe threats like terrorism, election interference, and school violence. We draw a clear distinction between predictive policing and proactive police strategies. We analyze the critical need for police specialization, embracing new technologies, and bolstering intelligence resources to preemptively tackle violence, while navigating the ethical and legal quandaries presented. We stress the imperative of maintaining a balance between ensuring public safety and upholding privacy rights, in compliance with Brazil's General Data Protection Law (LGPD). The discussion extends to the risks of algorithmic bias in policing and it points out the need for independent audits and judicial oversight on surveillance tech use, and calls for legislative updates to keep pace with evolving security challenges. Highlighting the significance of continual professional development, adherence to ethical norms, fostering a security tech industry, and enhancing international cybersecurity cooperation, we conclude that an inclusive dialogue is crucial for crafting a legislative framework that effectively combats extreme violence, anchored in solid scientific and technological support.
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Predictive Police Actions Against Extreme Violence: Strengthening Police Intelligence - The Brazilian Case

  • DOI: https://doi.org/10.22533/at.ed.4412417057

  • Palavras-chave: terrorism; police intelligence; predictive police actions; schools attacks

  • Keywords: terrorism; police intelligence; predictive police actions; schools attacks

  • Abstract: This study delves into the vital importance of enhancing police intelligence to effectively counteract extreme violence, underscoring the necessity for advanced predictive measures against severe threats like terrorism, election interference, and school violence. We draw a clear distinction between predictive policing and proactive police strategies. We analyze the critical need for police specialization, embracing new technologies, and bolstering intelligence resources to preemptively tackle violence, while navigating the ethical and legal quandaries presented. We stress the imperative of maintaining a balance between ensuring public safety and upholding privacy rights, in compliance with Brazil's General Data Protection Law (LGPD). The discussion extends to the risks of algorithmic bias in policing and it points out the need for independent audits and judicial oversight on surveillance tech use, and calls for legislative updates to keep pace with evolving security challenges. Highlighting the significance of continual professional development, adherence to ethical norms, fostering a security tech industry, and enhancing international cybersecurity cooperation, we conclude that an inclusive dialogue is crucial for crafting a legislative framework that effectively combats extreme violence, anchored in solid scientific and technological support.

  • Sergio Fernandes Senna Pires
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