42 posts found
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…
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…
AI tools for research and a new way to use language models
AI systems designed to assist us from the first dives to the final bibliography.
One of the missions of contemporary artificial intelligence is to help us find, sort and digest information, especially with the help of large language models. These systems have come at a time when we most need to mana…
Training in artificial intelligence: a strategic necessity and a legal obligation
The Work Trends 2024 Index on the State of Artificial Intelligence in the Workplace and reports from T-Systems and InfoJobs indicate that 78% of workers in Spain use their own AI tools in the workplace. This figure rises to 80% in medium-sized companies. In addition, 1 in 3 workers (32%) use A…
Digital rights: principles, initiatives and challenges in the digital age
We live in an increasingly digitalised world where we work, study, inform ourselves and socialise through technologies. In this world, where technology and connectivity have become fundamental pillars of society, digital rights emerge as an essential component to guarantee freedom, privacy and equal…
The importance of data training for public sector workers
There is no doubt that digital skills training is necessary today. Basic digital skills are essential to be able to interact in a society where technology already plays a cross-cutting role. In particular, it is important to know the basics of the technology for working with data.
In this context, p…
What data governance should look like in open source AI models
Open source artificial intelligence (AI) is an opportunity to democratise innovation and avoid the concentration of power in the technology industry. However, their development is highly dependent on the availability of high quality datasets and the implementation of robust data governance framework…
The European Union's Guide to the Deployment of the Data Governance Act: public sector intermediary services
The Data Governance Act (DGA) is part of a complex web of EU public policy and regulation, the ultimate goal of which is to create a dataset ecosystem that feeds the digital transformation of the Member States and the objectives of the European Digital Decade:
A digitally empowered population and h…
Open source auto machine learning tools
The increasing complexity of machine learning models and the need to optimise their performance has been driving the development of AutoML (Automated Machine Learning) for years. This discipline seeks to automate key tasks in the model development lifecycle, such as algorithm selection, data process…
The Interoperable Europe Act
One of the main requirements of the digital transformation of the public sector concerns the existence of optimal interoperability conditions for data sharing. This is an essential premise from a number of points of view, in particular as regards multi-entity actions and procedures. In particular, i…
