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The era of artificial intelligence in identification

The advancements in artificial intelligence have enabled the remote identification of legal entities.

Today’s Official Gazette published the Communiqué from the Ministry of Treasury and Finance, which amends the General Communiqué of the Financial Crimes Investigation Board. This amendment is now in effect.

Previously, remote identification methods were solely for establishing permanent business relations with individuals. However, with the technological progress in the financial sector, there is now a need to establish remote customer relations for not just individuals but also for legal entities registered in the trade registry.



The recently released Communiqué outlines the procedures and principles pertaining to remote identification methods for legal entities listed in the trade registry, and it permits the use of artificial intelligence in this process.

Given the technological nature of remote identification, the Communiqué mandates certain safeguards. Specifically, when leveraging third-party services, there’s a requisite for certification related to information security management. Moreover, when artificial intelligence is utilized for remote identification, there’s an obligation to report on specific technical matters.



Artificial Intelligence (AI) is the discipline focused on designing computer systems that can mimic human cognitive functions. The ultimate objective of AI is to replicate human-like intelligence in machines, empowering them to handle intricate tasks. This vast field encompasses several sub-domains:

  • Machine Learning (ML): ML provides computers the capacity to enhance their performance by digesting data. Through algorithms, they autonomously understand tasks, improving through model creation and data analysis.
  • Natural Language Processing (NLP): This domain empowers computers to comprehend, generate, and interact using human language. Its applications range from text analytics to chatbot responses.
  • Image Processing: Concentrating on visual data, this field ensures computers can discern and analyze images and videos. It can identify objects, faces, and other visual elements.
  • Robotics: Aiming to bolster the cognitive and operational abilities of robots, this discipline finds its applications in automation, self-driving cars, and manufacturing robots.
  • Expert Systems: These are specialized AI systems equipped with deep knowledge in specific domains like medicine, law, or finance, guiding users with expert-level advice.
  • Deep Learning: Stemming from artificial neural networks, deep learning thrives on vast data sets to generate intricate models. It’s foundational for many modern AI applications.

AI’s influence has permeated various sectors, revolutionizing facets of daily life. Notably, AI drives personal digital assistants, content recommendation engines, autonomous driving, medical imaging, financial forecasting, and myriad other applications.


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