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There can be no AI governance without good data governance
Our colleague Mario Piattini has published the article There can be no AI governance without good data governance on Cyberlideria MGZN, which highlights that the real obstacle to AI lies in data – its poor quality, management and governance – leading to between 60% and 85% of Artificial Intelligence projects failing.
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The robustness and generalisability of machine learning models
As AI researchers, we are often seduced by near-perfect internal validation metrics. In fact, today’s deep learning models (including large language models) are notable for the remarkable accuracy they can achieve on specific tasks. However, the fact that they get a lot right does not necessarily mean that the patterns they have learnt are reliable or that they have actually «understood» the root of the problem.
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Entrevista a José Ángel Olivas sobre dilemas éticos y sociales de la IA
Nuestro compañero José Ángel Olivas participó el 6/5/2026 en el programa Castilla-La Mancha Despierta de CMM. Durante la entrevista, en formato coloquio junto a Valeria Aragón, vicepresidenta de la Asociación de IA de Castilla-La Mancha, José Ángel analizó los dilemas éticos y sociales de las tecnologías emergentes. Tomando como punto de partida los incidentes de
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Entrevista a José Ángel Olivas sobre dilemas éticos y sociales de la IA
Intervención de José Ángel Olivas en Castilla-La Mancha Despierta (CMM) (06/05/2026). Nuestro compañero José Ángel Olivas aborda en el programa Castilla-La Mancha Despierta los límites éticos que plantea el uso de la Inteligencia Artificial en distintos ámbitos, desde su uso para «resucitar» a un ser querido fallecido , el destino de nuestros datos que quedan
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ISO/IEC certifications for AI software quality
As we pointed out, a functional, high-quality AI is the essential foundation for an ethical and legal AI. In this post, we summarise the two main standards for creating, evaluating and certifying both the software processes for developing AI systems ISO/IEC 5338 and the AI software product itself (ISO/IEC 25029).
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AI Governance and Management: The Strategic Business Focus
New Business Agenda based on ISO 38507 and ISO 42001 Artificial Intelligence (AI) has gone from being a technological trend to becoming a strategic pillar in business decision-making. However, its rapid adoption has raised new questions about governance, ethics, control and corporate responsibility. In this context, the international standards ISO 38507 and ISO 42001 are emerging as key frameworks for managing AI in a safe and structured manner with their focus on AI governance and management.
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Training in AI Governance, Management and Quality begins
Tuesday, 17 February marked the start of the micro-credential training in AI Governance, Management and Quality, which I2SC is collaborating on organising and teaching with UCLM. With a warm welcome, more than 75 students are participating in this first edition of the micro-credential, with the aim of learning about the most important legislative and technological frameworks in the areas of governance, management, and quality of AI.
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2nd edition of the book Governance, Management and Quality of Artificial Intelligence
Our colleague Mario Piattini has launched the second edition of the book Government, Management and Quality of Artificial Intelligence, sponsored by I2SC and available on Amazon (in Spanish). This new version is practically twice the length of the previous one and has been almost entirely updated. It presents the main standards, methodologies and techniques related to
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New ISO/IEC 5259 certification for AI data quality
The importance of data quality in AI AI data quality can be understood as the set of properties (form both technical and business viewpoints) that make data suitable for training, validating, and operating AI models in a reliable, robust, fair, and auditable manner. In AI, poor-quality data
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Artificial Intelligence and Public Procurement: regulation, governance and compliance
The collective work Artificial Intelligence and Public Procurement: Regulation, Governance and Compliance is now available. Andrés Montoro Montarroso, co-founder of I2SC, participated in its coordination and preparation. The publication offers a rigorous analysis of the structural impact of Artificial Intelligence on the public sector, with a special focus on public procurement. This book also includes contributions from José Ángel Olivas and Jesús Serrano, also co-founders of I2SC. The work addresses
