Artificial intelligence has become a part of many areas of our daily lives, public administration It is a fundamental part of our society and therefore must adapt to new processes imposed by a historical moment marked by technology.
This is not a hyper-futuristic concept robots Who run like crazy in corridors full of windows, suppressing the authorities and their actions. The idea is for humans to take advantage of the advancements that the digital world puts at our fingertips.,
For example, one area in which the use of technology can be very useful is fundraising. taxes, here again We’re not talking about humanoids turned into collectors of tailcoatsRather than “deployment of complex computer tools that facilitate the work of officials themselves (and those of taxpayers), a task that is necessary and will continue to be necessary,” underlines sources in the state tax administration agency.
Human, but human with good digital resources, In this lies the future success and progress of the society. “Therein lies the key, and of course it’s stated that way tax agencyis, is and will be man, not machine. for a number of reasons, the necessity of which is that, in the end, people make decisions”, they highlight.
Even then, That blunt philosophy doesn’t mean we’re far behind in SpainThere are many diverse areas in which AEAT is working in the field of artificial intelligence and the use of Big Data tools to bolster your activity, both aid and prevention and control.
Regarding help, tools to predict errors fare campaign, It was launched last year with an aim to help taxpayers Avoid recurring failures in declaration And, with it, the risk of subsequent regularization by administration.
How does this work? AEAT formulas explain it 20bits, With automatic learning technology from previous years regularization, the tool selects taxpayers who may make a mistake in any of the income boxes from the Work section. If the taxpayer modifies any of these boxes, he will be reminded that he has modified the amounts that appear in the tax data so that he can decide whether he wants to continue with that amendment.
Big data to control Spaniards pretending to be abroad
With regard to control, one of the latest functions, deployed as of 2020, is the application of Big Data to the analysis of information to detect what AEAT considers ‘false non-residents’. This system makes it possible to reconstruct the history of permanence on the territory of Spain. Taxpayers with large assets who do not live in Spain in principle – but in practice they do and, therefore, must pay taxes in our country-,
How do they get it? A comprehensive and unique analysis of residency, relevant risks, relationships (family and corporate) and undue wealth variations should be carried out—including an analysis of income and consumption flows that pivot on the family unit to which the taxpayer belongs—. Later These parameters have been cross-referenced with the history of these taxpayers living in Spanish territory to rule out potential discrepancies. Between ancestral property, income and consumption and with their personal and marital relations.
“Based on a broad group of non-declared taxpayers” Income tax This comprehensive analysis, in which personal or marital relations with Spain are appreciated, taking into account the characteristics of life and signs of residence, which allows residence in Spain with a certain level of probability, A group of taxpayers is formed, for which a special follow-up action is taken”, explain AEAT sources.
unit wise, utilizing advanced equipments of big Data With a combination of over 70 original and derived data sources. “These data sources determine the existence of a group of a certain probability of residence in Spain, In response to compliance with the requirements for continuing stay in Spain (183 days)For the existence in Spain of a center of vital and family ties (residence in Spanish territory of spouses who are not legally separated and minor children), or for economic interests”, they add.
Thanks for this system In 2020, 126 suspicious taxpayers were detected and in 2021, 223 . extended to, All of these “actions have been completed for the total amount specified” €24.5 million on 69 taxpayers who were artificially located in about thirty countries and for whom it was determined that they actually had effective residency Spain”, assure the sources of the tax agency.
The Nidel Project: The Fight Against Money Laundering
The Customs and Special Taxes Department of AEAT, on which the Customs Surveillance Service depends, has designed a project aimed at analyzing and detecting money laundering networks. ‘Nidell’ is a project that combines criminal network analysis technology with Big Data, With this tool, a system has been created to measure asset risk in case of money laundering.
,The Niedel method allows the detection of people with increased wealth of unknown and inappropriate origin. And that they have criminal ties, either because it is the criminals themselves who have undue assets or because they hide it through third parties (front men or patriarchal companies) related to them”, he elaborates on AEAT.
it’s a project to fight Money laundering, organized crime and tax fraud based on the detection, analysis and investigation through big data technologies and network algorithms of the heterogeneous economic and marital status of people with criminal ties. The project is in execution stage in certain special delegations of the tax agency.
,The use of Big Data and graph analysis has allowed us to find laundering patterns in network construction with millions of nodes (individual or legal entities, real estate…) and relationships. This has made it possible to identify a good number of potential network structures used to conceal money laundering or other types of crimes”, he remarks.
the product software The ad hoc has been developed by the Tax Information Department of AEAT with which it works. For this, new disruptive and exponential techniques have been used, such as Big Data, network algorithms, artificial intelligence and machine learning (machine learning) “along with the power of these technologies There is a huge amount of information available in the AEAT databasemakes it possible to generate significant results”, he says.
Thereafter, the phases of analysis of information, selection of candidates as per the profile and finally, matrimonial screening of these candidates were carried out in a coordinated manner between the Deputy Directorate of Customs Surveillance and the analysts. Specialists in the fight against money laundering from special delegations who have started their participation in the project.
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