The rapid pace of AI development may outstrip

The gap

Evidence profile

Sourced from the stated challenges and inline gaps and stated research gap and limitations section of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 4 representative gaps

• INTELIGÊNCIA ARTIFICIAL E TRANSFORMAÇÕES NO SISTEMA JURÍDICO: EFICIÊNCIA, GOVERNANÇA ALGORÍTMICA E DESAFIOS PARA O ESTADO DE DIREITO (2026) · Revista Tópicos · doi

  The incorporation of AI in the legal system raises complex questions related to ethics, transparency, and responsibility. The use of algorithmic tools challenges traditional notions of decision-making and justice administration. The paper highlights the need for new regulatory approaches and critical reflections on the limits of decision-making automation.

  generalstated challenges
  Keywords: incorporation legal system raises complex questions related ethics
• Artificial intelligence in financial security: Legal challenges in Japan’s AML/CFT regime and comparative insights from selected EU countries (2026) · Security and Defence Quarterly · doi

  However, sector-specific guidelines from Poland’s financial intelligence unit (GIIF) are lacking, and the Polish Financial Supervision Authority (KNF) has yet to establish a coordinated approach to AI in AML/CFT. The research hypothesis—which assumed that the current state of legal regulation of AI in AML/CFT systems in Japan and selected EU countries is insufficient—was confirmed.

  generalinline gapsevidence 5/5
  Keywords: financial sector specific guidelines poland intelligence unit giif lacking polish supervision authority establish coordinated approach
• Artificial intelligence in financial security: Legal challenges in Japan’s AML/CFT regime and comparative insights from selected EU countries (2026) · Security and Defence Quarterly · doi

  The study identifies a gap in the regulation of AI in AML/CFT systems, particularly with regards to liability for decisions made by AI. The research highlights the need for more precise legal provisions concerning liability for decisions made by AI in AML/CFT systems. The study found that the concept of 'artificial intelligence' is not uniformly defined in international or national legal documents.

  generalstated research gapevidence 5/5
  Keywords: study identifies gap regulation aml cft systems particularly
• When Algorithms Meet Art - Jurisprudence and Authorship in the Age of Generative Artificial Intelligence (2026) · Jus & Justicia · doi

  The rapid pace of AI development may outstrip the shelf-life of specific policy recommendations. The lack of transparency in proprietary AI training datasets limits the empirical verification of input infringement. The study acknowledges the need for careful calibration to maintain the distinction between empirical findings and normative advocacy.

  generallimitations sectionevidence 5/5
  Keywords: rapid pace development outstrip shelf-life specific policy recommendations

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