The Role Of Artificial Intelligence in Predictive Policing: Benefits, Risks, and Ethical Considerations
Keywords:
Artificial intelligence, Predictive policing, Law enforcement, Crime pattern detection, Ethical considerationsAbstract
This article examines the use of artificial intelligence (AI) in predictive policing and its impact on law enforcement practices. By analyzing AI applications in crime pattern detection, resource allocation, and risk assessment, the study discusses the potential benefits and ethical concerns of using AI in policing. Findings indicate that while AI can enhance efficiency, it also raises issues related to privacy, discrimination, and accountability, calling for ethical guidelines in its implementation.
Downloads
References
Angwin, J., & Larson, J. (2016). The secretive company that might end policing as we know it. ProPublica. https://www.propublica.org/article/the-secretive-company-that-might-end-policing-as-we-know-it
Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016). Machine bias. ProPublica. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
Chouldechova, A. (2018). Fair prediction with machine learning: Can we avoid discrimination? Journal of Law and Economics, 61(2), 213-237. https://doi.org/10.1086/697328
Chouldechova, A., & Roth, A. (2019). The frontiers of fairness in machine learning. Journal of Legal Analysis, 12(1), 1-23. https://doi.org/10.1093/jla/lay022
Ferguson, A. G. (2017). The rise of big data policing. NYU Press.
Ferguson, A. G. (2017). The rise of big data policing: Surveillance, race, and the future of law enforcement. NYU Press.
Lum, K. (2019). The ethical challenges of predictive policing: Transparency, accountability, and discrimination. Journal of Ethics and Information Technology, 21(1), 1-14. https://doi.org/10.1007/s10676-019-09551-1
Lum, K., & Isaac, W. (2016). To predict and serve? Significance, 13(5), 14-19. https://doi.org/10.1111/j.1740-9713.2016.00929.x
Mohler, G. O., et al. (2015). Randomized experiment evaluating the effect of predictive policing on crime. Science, 356(6336), 1511-1514. https://doi.org/10.1126/science.aaf0251
Obermeyer, Z., Powers, B. W., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453. https://doi.org/10.1126/science.aax2342
Price, J., & Owen, J. (2018). Predictive policing and civil liberties: A critical examination. Journal of Technology in Society, 5(2), 102-114. https://doi.org/10.1145/3231268.3231276
Rawls, J. (1971). A theory of justice. Harvard University Press.
Tufekci, Z. (2018). The rise of AI and the threat to privacy and civil liberties. Journal of Policy and Internet, 15(3), 1-12. https://doi.org/10.1002/poi3.191
Zeng, Y. (2020). Artificial intelligence in policing: The role of algorithms in law enforcement. AI & Society, 35(4), 1089-1103. https://doi.org/10.1007/s00146-020-01003-2
