Legal challenges of regulating artificial intelligence in law enforcement, taking into account the interdisciplinary approach to socio-legal transformations

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Regulatory gaps in AI governance can lead to issues of accountability and reinforce systemic biases.
The study reveals significant differences in AI regulations between regions, highlighting a need for harmonization.
AI adoption in law enforcement enhances efficiency but poses risks to data privacy and traditional accountability structures.
Without clear legal frameworks, international cooperation on AI governance remains complicated, threatening public trust.

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Comparative analysis reveals regulatory gaps and implications for human rights in AI governance.

Zhaltyrbayeva et al. (2025) studied this question.

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