The use of AI in criminal justice raises concerns about transparency, explainability, and systemic bias

The gap

Evidence profile

Sourced from the recommendations and limitations section and stated challenges of the source papers, classified as general, spanning 3 journals. Those papers have been cited 1 times in total.

Supporting evidence — 3 representative gaps

• An Analysis of Artificial Intelligence -Driven Command and Control in Financial Security and Fraud Detection with special reference to Palghar District. (2026) · European Economic Letters (EEL) · doi

  According to these findings, financial institutions should pay attention to the issue of financial transparency when developing and implementing AI systems. Trying to describe the mechanism of functioning of the AI models in a simple way one will be able to decrease uncertainty and establish trust among the users. Educational programs related to the use of AI- oriented security tool should also be introduced regularly in the congregation to educate the users on its benefits, limitations, and proper use. Any organisation must be open to the use of ethical AI systems to limit any apprehension of partiality, equity, and accountability. The most relevant governing structures are necessary to control the decision-making process by AI, and stringent data privacy and security laws are needed to make the customers not to be scared off. The technological advances must be maintained to make sure that they are consistent with the constantly evolving means of fraud. The responsible AI adoption also involves collaboration with regulators and technology experts as the solution. Such a set of actions can help AI-based financial security systems become more reliable, convenient, and efficient, in general.

  generalrecommendations
  Keywords: financial systems security users must make according institutions attention issue transparency developing implementing trying describe
• Sifatni boshqarishda sun'iy intellektning afzalliklari: Raqamli transformatsiya kontekstida tadqiqot (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

  The paper notes that the adoption of AI technologies can be limited by high implementation costs and the need for skilled personnel. The study discusses the potential risks and challenges associated with AI adoption, including cybersecurity threats and data privacy concerns. The research acknowledges the need for further study on the impact of AI on quality management systems.

  generallimitations sectionevidence 5/5
  Keywords: paper notes adoption technologies limited high implementation costs
• Artificial intelligence in criminal justice: Predictive tools, evidentiary challenges and human rights implications (2026) · Nauka bezbednost policija · cited 1× · doi

  The use of AI in criminal justice raises concerns about transparency, explainability, and systemic bias. The study highlights the challenge of ensuring that AI serves justice rather than undermining it. The paper notes the need for robust procedural safeguards to prevent the erosion of fundamental rights in the pursuit of technological progress.

  generalstated challengesevidence 5/5
  Keywords: use criminal justice raises concerns about transparency explainability

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