Analysis of AI governance frameworks for law enforcement
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posted on 2025-06-05, 06:32 authored by Chad WhelanChad Whelan, Miah Hammond-Errey, Marie-Pier Villeneuve-DubucAnalysis of AI governance frameworks for law enforcement
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Funded by Cyber Security Research Centre LimitedResearch statement
Background Artificial Intelligence (AI) governance frameworks and principles guide organisations in the development, procurement, and use of AI systems. These frameworks encompass governance structures, policies, skills, practices, and mechanisms to manage AI effectively. This review analyses existing AI governance frameworks and principles, specifically for Australian law enforcement. Effective AI governance requires a holistic approach that considers both principles and practical implementation. This review identifies six core categories of principles essential for AI governance in law enforcement, highlighting key ethical considerations. Contribution Key headline principles: Accountability: Law enforcement agencies must maintain internal and external accountability for AI systems. This includes documented processes for human oversight and compliance with relevant laws and regulations. Transparency: Agencies should be open about the development, procurement, and use of AI systems. This includes clear communication about AI applications and their oversight. Legality, necessity, and proportionality: AI systems should be used reasonably and justifiably, ensuring they are necessary and targeted for specific purposes. Explainability: AI outputs must be meaningfully described, ensuring that users and th Significance This review identifies six core categories of principles essential for AI governance in law enforcement, highlighting key ethical considerations. Key headline principles: Accountability Transparency Legality, necessity, and proportionality Explainability Reliability and validity Fundamental rights Essential Considerations: Risk-based approaches Interoperability Implementation and detailed guidance Comprehensive consideration of AI governance Through this review, we conclude that robust AI governance in law enforcement requires a balanced approach, combining ethical principles with practical, detailed guidance.Publisher
Cyber Security Research Centre LimitedUsage metrics
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