95 posts found
Three strategies to get the most out of your AI-powered summaries
We live surrounded by AI-generated summaries. We have had the option of generating them for months, but now they are imposed on digital platforms as the first content that our eyes see when using a search engine or opening an email thread. On platforms such as Microsoft Teams or Google Meet, video c…
More transparency in AI: new template for documenting general-purpose model training data
Artificial Intelligence (AI) is transforming society, the economy and public services at an unprecedented speed. This revolution brings enormous opportunities, but also challenges related to ethics, security and the protection of fundamental rights. Aware of this, the European Union approved t…
Artificial intelligence, data and responsibilities
When dealing with the liability arising from the use of autonomous systems based on the use of artificial intelligence , it is common to refer to the ethical dilemmas that a traffic accident can pose. This example is useful to illustrate the problem of liability for damages caused by an acciden…
AI as a catalyst for an open government data ecosystem
Open data from public sources has evolved over the years, from being simple repositories of information to constituting dynamic ecosystems that can transform public governance. In this context, artificial intelligence (AI) emerges as a catalytic technology that benefits from the value of o…
How to prepare your data to work with artificial intelligence tools from a legal point of view
The idea of conceiving artificial intelligence (AI) as a service for immediate consumption or utility, under the premise that it is enough to "buy an application and start using it", is gaining more and more ground. However, getting on board with AI isn't like buying conventional software and gettin…
Artificial intelligence at the service of open data quality
We know that the open data managed by the public sector in the exercise of its functions is an invaluable resource for promoting transparency, driving innovation and stimulating economic development. At the global level, in the last 15 years this idea has led to the creation of data portals that ser…
Traditional AI vs Generative AI: Understanding Their Differences
Artificial intelligence (AI) has become a central technology in people's lives and in the strategy of companies. In just over a decade, we've gone from interacting with virtual assistants that understood simple commands, to seeing systems capable of writing entire reports, creating hyper-realistic i…
DCAT-AP-ES: A step forward in open data interoperability
Context and need for an update
Data is a key resource in the digital transformation of public administrations. Ensuring its access, interoperability and reuse is fundamental to improve transparency, foster innovation and enable the development of efficient public services centered on citizens.
In th…
Altruistic projects to create AI models in co-official languages
Artificial intelligence (AI) assistants are already part of our daily lives: we ask them the time, how to get to a certain place or we ask them to play our favorite song. And although AI, in the future, may offer us infinite functionalities, we must not forget that linguistic diversity is still a pe…
HealthDCAT-AP: The Standard That Connects Health Data to People
Data is the engine of innovation, and its transformative potential is reflected in all areas, especially in health. From faster diagnoses to personalized treatments to more effective public policies, the intelligent use of health information has the power to change lives in profound and meaningful w…
