{"id":118399,"date":"2025-04-02T23:52:09","date_gmt":"2025-04-02T21:52:09","guid":{"rendered":"https:\/\/ceadigilaw.org\/inteligencia-artificial-y-la-crisis-sistemica-de-la-administracion-publica-espanola\/"},"modified":"2026-07-17T21:34:26","modified_gmt":"2026-07-17T19:34:26","slug":"inteligencia-artificial-y-la-crisis-sistemica-de-la-administracion-publica-espanola","status":"publish","type":"post","link":"https:\/\/ceadigilaw.org\/en\/blog\/inteligencia-artificial-y-la-crisis-sistemica-de-la-administracion-publica-espanola\/","title":{"rendered":"Artificial Intelligence and the Systemic Crisis of the Spanish Public Administration"},"content":{"rendered":"

by Antonio Tejeda Encinas<\/a><\/p>\n

The implementation of the artificial intelligence (AI) in public administration<\/strong> has generated significant debates in various countries. In centralised systems with homogeneous technological standards, such as that of the United Kingdom, ethical and operational challenges have been identified in the automation of state services. This panorama invites us to reflect on the situation in Spain, where the public administration faces chronic problems of fragmentation, obsolescence and a civil service culture that, in some cases, makes it difficult to adapt to the digital revolution.<\/p>\n

Lessons from the UK: Unheeded warnings<\/strong><\/p>\n

The UK has experienced difficulties in implementing AI systems in public services, highlighting the need to establish strong ethical and operational frameworks. Although steps have been taken to improve transparency and fairness in the use of government algorithms, critical areas remain that require attention. These experiences should serve as an alarm signal for Spain, where the administrative reality presents additional complexities.<\/p>\n

The Spanish paradox: Advanced legislation vs. Dysfunctional reality<\/strong><\/p>\n

Spain has shown initiative in the creation of regulatory frameworks related to AI, seeking to establish ethical requirements and specialized oversight bodies. However, this legislative ambition contrasts with an administration that, in many cases, operates with outdated technological infrastructures and faces significant challenges in its modernization.<\/p>\n

Fragmentation as an endemic evil<\/strong><\/p>\n

Spain’s decentralized structure has led to the creation of multiple independent technology systems in the autonomous communities. This diversity has led to interoperability issues in critical areas such as healthcare and grant management, making it difficult to implement unified and efficient technology solutions.<\/p>\n

Civil servants: Between obsolescence and resistance<\/strong><\/p>\n

The ageing of the Spanish public workforce, combined with insufficient digital training, represents an obstacle to modernisation. In addition, the presence of employees with negative attitudes or resistance to change can affect productivity and the work environment, making it difficult to implement technological innovations. These behaviors not only reduce efficiency, but also negatively impact team morale and the quality of service offered to citizens.<\/p>\n

AI in No Man’s Land: Competition Chaos<\/strong><\/p>\n

The implementation of AI projects in Spain faces challenges arising from the complexity of competences between different levels of administration. The lack of coordination and the existence of contradictory protocols hinder the effective integration of technological solutions, highlighting the need for greater regulatory and operational harmonization.<\/p>\n

Investment vs. Reality: The Challenge of Digital Transformation Funds<\/strong><\/p>\n

Despite significant investments in the digital transformation of public administration, difficulties have been identified in the acquisition of appropriate technologies and specialised training of staff. In some cases, the lack of planning and coordination has led to duplication of efforts and resources, highlighting the need for a more coherent and effective strategy in the implementation of digital solutions.<\/p>\n

Social consequences: When inefficiency translates into exclusion<\/strong><\/p>\n

Technological difficulties in public administration have direct repercussions on the provision of essential services, affecting both citizens and businesses. Delays in the processing of benefits and difficulties in carrying out digital procedures are examples of how technological inefficiency can negatively impact society, generating distrust and exclusion.<\/p>\n

Is there a way out?<\/strong><\/p>\n

International experience shows that even centralized systems require time and effort to correct deficiencies in AI implementation. For Spain, the solution lies in comprehensive measures that address technological fragmentation, promote the continuous training of civil servants and establish clear regulatory frameworks that facilitate interoperability and efficiency in public administration. Only through a coordinated and committed approach will it be possible to transform today’s challenges into opportunities for a more modern and effective administration.<\/p>\n

The solution requires:<\/p>\n

-Mandatory technological unification, as required by current regulations.<\/p>\n

-Significant additional investment to train civil servants in artificial intelligence and digital skills.<\/p>\n

-Public audits of algorithms, following international examples, to ensure transparency and fairness in their application.<\/p>\n

Without an urgent plan that unifies technologies, trains officials and audits algorithms, Spain will continue to be relegated in the digital age, with growing social costs<\/p>\n","protected":false},"excerpt":{"rendered":"

by Antonio Tejeda Encinas The implementation of the artificial intelligence (AI) in public administration has generated significant debates in various countries. In centralised systems with homogeneous technological standards, such as that of the United Kingdom, ethical and operational challenges have been identified in the automation of state services. This panorama invites us to reflect on […]<\/p>\n","protected":false},"author":2,"featured_media":113661,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"wds_primary_category":0,"wds_primary_cea_women":0,"footnotes":""},"categories":[1102],"tags":[],"cea_women":[],"class_list":["post-118399","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"acf":[],"_links":{"self":[{"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/posts\/118399","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/comments?post=118399"}],"version-history":[{"count":1,"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/posts\/118399\/revisions"}],"predecessor-version":[{"id":119481,"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/posts\/118399\/revisions\/119481"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/media\/113661"}],"wp:attachment":[{"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/media?parent=118399"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/categories?post=118399"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/tags?post=118399"},{"taxonomy":"cea_women","embeddable":true,"href":"https:\/\/ceadigilaw.org\/en\/wp-json\/wp\/v2\/cea_women?post=118399"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}