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These studies suggest that while AI can enhance predictive policing, it raises significant ethical concerns including accuracy, fairness, transparency, racial bias, and legality, necessitating careful political and legislative oversight.
20 papers analyzed
The use of artificial intelligence (AI) in predictive policing has garnered significant attention due to its potential to enhance law enforcement efficiency and effectiveness. However, this technology also raises numerous ethical concerns, particularly regarding accuracy, bias, transparency, and the treatment of individuals. This synthesis examines the ethical considerations associated with AI in predictive policing based on insights from multiple research papers.
Accuracy and Fairness Concerns:
Bias and Discrimination:
Transparency and Accountability:
Ethical Treatment of Individuals:
The ethical considerations of using AI in predictive policing are multifaceted, involving concerns about accuracy, bias, transparency, and the ethical treatment of individuals. While AI has the potential to make policing more effective, it also risks perpetuating existing biases and lacks sufficient transparency and accountability. Addressing these issues requires a careful balance of competing priorities, likely through political and legislative processes, to ensure that the use of AI in law enforcement is both fair and just.
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