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AI Governance vs. AI Management: the truth that nobody tells you
In recent months, with the arrival of ISO/IEC 42001, hundreds of articles, posts and opinions have proliferated on "AI governance", "AI management systems" and "how to implement responsible AI". Problem: analysing many of them, most confuse governance with management, or even use both terms as synonyms, which they are not. This confuses the reader and creates noise in the industry.
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I2SC collaborates in the official training of UCLM in AI Governance, Management and Quality
I2SC will be the collaborating entity in the organisation and delivery of the new micro-credential in AI Governance, Management and Quality offered by UCLM (in Spanish). This micro-credential aims to provide a training solution to a clear need for professionals specialising in the area of AI governance, management and quality. It provides a comprehensive overview
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ISO 42001 and prEN 18286: management and regulation for responsible AI
The rapid evolution of Artificial Intelligence has driven the creation of new standards to help organisations manage it securely, reliably and in compliance with European regulations. In this context, different standards are emerging which, although related, perform complementary functions in the AI governance and compliance ecosystem. On the one hand, we have ISO/IEC 42001:2023
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Functional, high-quality AI as the basis for an ethical and legal AI
Although all new information technology presents risks, AI is perhaps one of the technologies that increases the magnitude of risks the most, both negative (due to its potential impact at the organisational and social level) and positive (due to the great opportunities it offers, for example, for decision support). With regard to traditional IT risks, it should be noted that these evolve more rapidly in AI
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Gobierno, Gestión y Calidad de la Inteligencia Artificial (digital edition)
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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Get the book Government, Management and Quality of Intelligence for free
You can now get the book Gobierno, Gestión y Calidad de la Inteligencia Artificial in digital format (PDF) completely free of charge here. In recent years, there has been a strong emphasis on the need for "trustworthy" and "responsible" AI that respects legal and ethical issues and allows for the construction and exploitation of robust intelligent systems.
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AI Governance as an extension of Data Governance based on UNE 0077
Artificial Intelligence (AI) increasingly influences people's daily lives and plays a key role in the digital transformation of businesses and public administrations thanks to its ability to automate and facilitate decision-making. The benefits of intelligent systems are extraordinary, but the risks they entail may be even greater, making good AI governance more necessary than ever.
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I2SC joins the AIQI Consortium to promote governance and quality in artificial intelligence
I2SC has announced its incorporation into the AIQI Consortium, a global initiative launched to address the ethical and digital trust challenges posed by the rapid development and deployment of artificial intelligence. This prestigious association promotes international cooperation to create a unified approach to AI governance, thereby ensuring its positive impact on society while mitigating its potential risks.
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If you are developing with AI co-piloting, this is of interest to you
If your company is using tools such as GitHub Copilot or ChatGPT to support software development, it is time to go beyond efficiency and ask how risks, automated decisions, and the quality of the generated code are being managed. ISO/IEC 42001 not only helps you comply with future legal requirements, but also establishes good organisational practices for integrating AI
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An Artificial Intelligence Maturity Assessment Framework Based on International Standards
Autores: Rubén Márquez, Moisés Rodríguez, Javier Verdugo, Francisco P. Romero, Mario Piattini. Publicado en Engineering Applications of Artificial Intelligence, vol. 159 (noviembre 2025) En este artículo se presenta MMSIA, el Modelo de Madurez del Software de Inteligencia Artificial definido por I2SC, el cual se basa en los estándares internacionales ISO/IEC 5338 y la familia ISO/IEC
