Understanding and mitigating bias to harness AI responsibly

AI is a strong asset for law enforcement to strengthen its capacities to combat emerging threats amplified by digitalisation through the integration of new technical solutions in its tools box against crime. AI can help law enforcement to analyse large and complex datasets, automate repetitive tasks, and to support better informed decision-making. Deployed responsibly, it offers considerable potential to enhance operational capabilities and improve public safety. However, these benefits must be carefully weighed against the possible risks posed by bias, which may appear at various stages of AI system development and deployment. Such bias must be checked to ensure fair outcomes, maintain public trust, and protect fundamental rights. This report provides law enforcement authorities with the insights and guidance needed to identify, mitigate, and prevent bias in AI systems. This knowledge can play a crucial role in supporting the safe and ethical adoption of AI to ensure that the technology is used effectively, fairly and transparently in the service of public safety. Key recommendations for law enforcement: Document: Maintain detailed documentation of all AI lifecycle stages. This ensures traceability, accountability, and aids in identifying where biases may occur. Evaluate: Develop a comprehensive socio-technical framework, engaging a diverse group of stakeholders, to assesses technical accuracy and thoroughly considers historical, social and demographic contexts. Train all...