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February 19, 20260 citationsOpen Access

Responsibility and Accountability for the use of AI in Law Enforcement in the European Union

SKSteven KleemannMTMilan Tahraoui

Key Points

  • The paper aims to evaluate the EU AI Act's implications for accountability in law enforcement and individual protection.
  • Analyzed the application of the EU AI Act to law enforcement.
  • Assessed the risk-based approach within the framework.
  • Examined the accountability mechanisms and their effectiveness.
  • Critically evaluated exceptions and backdoors in the Act.
  • Identifies that the current accountability framework offers limited remedies for individuals.
  • Finds that existing backdoors weaken fundamental rights protections.
  • Suggests that a rights-based approach should be combined with the risk-based framework for better alignment with fundamental rights.

Abstract

This paper examines the EU AI Act’s application to law enforcement, highlighting how this sector is incorporated into the risk-based approach and assessing the extent to which such incorporation could weaken safeguards for individuals. It argues that, although the newly created accountability framework is complex, it offers only limited remedies for affected individuals. To ensure genuine protection of fundamental rights, the exceptions (‘backdoors’) embedded in the framework must be critically examined, contestability mechanisms must be strengthened, and the responsibilities of providers and deployers of high-risk AI must be clarified. Where appropriate, a rights-based approach should be integrated into the risk-based approach to underscore that fundamental rights are non-negotiable. This integration is essential to align the use of AI with the AI Act’s twin objectives of protecting fundamental rights and promoting innovation.

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Cite This Study

Kleemann et al. (2025) studied this question.

synapsesocial.com/papers/6996a869ecb39a600b3ef11fhttps://doi.org/10.60935/mrm2025.30.2.28
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