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Reform predictive policing

Author

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  • Aaron Shapiro

    (Aaron Shapiro is a doctoral candidate at the Annenberg School for Communication, University of Pennsylvania, Philadelphia, USA.)

Abstract

Police agencies, software firms and the public must ensure that crime-forecasting software improves public safety and officer accountability, writes Aaron Shapiro.

Suggested Citation

  • Aaron Shapiro, 2017. "Reform predictive policing," Nature, Nature, vol. 541(7638), pages 458-460, January.
    • Handle: RePEc:nat:nature:v:541:y:2017:i:7638:d:10.1038_541458a
    DOI: 10.1038/541458a
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    Cited by:

    1. Gian Maria Campedelli, 2021. "Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime," Journal of Computational Social Science, Springer, vol. 4(2), pages 503-530, November.
    2. Henrik Skaug Sætra, 2021. "AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    3. Sukanya Samanta & Goutam Sen & Soumya Kanti Ghosh, 2022. "A literature review on police patrolling problems," Annals of Operations Research, Springer, vol. 316(2), pages 1063-1106, September.
    4. Khaoula Naili, 2023. "Critical AI Challenges in Legal Practice : An application to French Administrative Decisions," Working Papers hal-04316581, HAL.
    5. Ishmael Mugari & Emeka E. Obioha, 2021. "Predictive Policing and Crime Control in The United States of America and Europe: Trends in a Decade of Research and the Future of Predictive Policing," Social Sciences, MDPI, vol. 10(6), pages 1-14, June.
    6. Brandt, Tobias & Wagner, Sebastian & Neumann, Dirk, 2021. "Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning," European Journal of Operational Research, Elsevier, vol. 291(1), pages 379-393.

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