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I2SC publishes a new article in the EAAI journal
The article An Artificial Intelligence Maturity Assessment Framework Based on International Standards, written by Rubén Márquez, Moisés Rodríguez, Javier Verdugo, Francisco P. Romero, and Mario Piattini, has been published in the journal Engineering Applications of Artificial Intelligence, vol. 159 (November 2025). This article presents MMSIA, the Artificial Intelligence Software Maturity Model defined by I2SC
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ISO 42001 vs Shadow AI
In this decade, AI will be to businesses what Excel was: indispensable. But, like Excel, you have to know how to use it. Currently, the use of Artificial Intelligence (AI) in companies has grown exponentially. Predictive models, machine learning algorithms, generative AI, virtual assistants, and autonomous agents are transforming processes, products, and services. However, this growth has also given rise to a worrying phenomenon: Shadow AI.
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What your company needs to know about the AI Act and ISO 42001
Artificial intelligence is no longer just a technological trend; it is now also regulated by law. With the approval of the European Artificial Intelligence Act (AI Act) and the publication of the international standard ISO/IEC 42001, all European companies—including SMEs—must begin to organise themselves to use AI responsibly and transparently.
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I2SC will collaborate with AQCLab to evaluate AI quality
I2SC has established a collaboration agreement with AQCLab, the first and only laboratory internationally accredited by ENAC/ILAC for the evaluation of software quality and data quality under the ISO/IEC 25000 family of standards. This collaboration is key to the development of I2SC projects under the framework of standards for the evaluation, improvement, and certification of intelligent systems
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What is ISO 42001 and why should your SME care?
Artificial Intelligence (AI) is now a technology that is applied in our daily lives and is no longer exclusive to large technology companies. This can be seen in the fact that more and more SMEs are incorporating recommendation algorithms, intelligent automation, and even generative assistants to optimise their processes. However, these opportunities also bring new risks: bias, lack of transparency, automated decisions that impact people...
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Why are new complex strategies necessary to certify, audit, and evaluate AI systems?
Artificial intelligence systems in general are quite complex from a cognitive point of view, meaning that expectations regarding their performance and the mechanisms that enable inferences to be made in the sense described above are not as precise and objectifiable as in systems that could be called conventional software. For example, the expected error rate in a payroll management system
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Modelo para el gobierno, gestión y calidad de la IA basado en estándares internacionales
Autores: Mario Piattini, Carlos Manuel Fernández. Publicado en revista SIC, nº 162 (noviembre 2024) En este artículo se propone un modelo basado en estándares ISO/IEC que establece las bases para un entorno de gobierno y gestión de la IA con calidad, eficiencia, equidad, seguridad, privacidad, sostenibilidad y responsabilidad. Dicho modelo, orientado a los CIO, CDO,
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Gobierno, Gestión y Calidad de la Inteligencia Artificial
Autor: Mario Piattini (octubre 2024) En este libro se recoge una panorámica sobre los principales estándares y técnicas para gobernar, gestionar y asegurar la calidad de los sistemas inteligentes; sin más pretensión que la de constituir un listado de herramientas, de las que el lector conozca su existencia y el ámbito que abordan. A partir
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ISO/IEC quality standards for AI engineering
Autores: Jesús Oviedo, Moisés Rodriguez, Andrea Trenta, Dino Cannas, Domenico Natale, Mario Piattini. Publicado en revista Computer Science Review, vol. 54 (noviembre 2024) En este artículo se realiza un amplio repaso a las diversas normas internacionales existentes, con especial foco en las definidas por ISO/IEC, relacionadas con la calidad de los sistemas de Inteligencia Artificial. Así,
