61 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…
How to build a Green Deal Data Space that complies with the FAIR principles
To achieve its environmental sustainability goals, Europe needs accurate, accessible and up-to-date information that enables evidence-based decision-making. The Green Deal Data Space (GDDS) will facilitate this transformation by integrating diverse data sources into a common, interoperable and open…
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…
How to build a citizen science initiative considering open data from the start
Citizen participation in the collection of scientific data promotes a more democratic science, by involving society in R+D+i processes and reinforcing accountability. In this sense, there are a variety of citizen science initiatives launched by entities such as CSIC, CENEAM or CREAF, among oth…
Thinking Out Loud: Prompts to Simulate Human Reasoning with AI
In the usual search for tricks to make our prompts more effective, one of the most popular is the activation of the chain of thought. It consists of posing a multilevel problem and asking the AI system to solve it, but not by giving us the solution all at once, but by making visible step by step the…
The role of data in driving autonomous vehicles
Just a few days ago, the Directorate General of Traffic published the new Framework Programme for the Testing of Automated Vehicles which, among other measures, contemplates "the mandatory delivery of reports, both periodic and final and in the event of incidents, which will allow the DGT to assess…
Evaluate to trust: the key role of validation and open data in generative AI
Generative artificial intelligence is beginning to find its way into everyday applications ranging from virtual agents (or teams of virtual agents) that resolve queries when we call a customer service centre to intelligent assistants that automatically draft meeting summaries or report proposals in…
Sustainable artificial intelligence: how to minimise the environmental impact of AI
Artificial intelligence (AI) has become a key technology in multiple sectors, from health and education to industry and environmental management, not to mention the number of citizens who create texts, images or videos with this technology for their own personal enjoyment. It is estimated that in Sp…
