91 posts found
Best practices for exploring and analyzing data with AI without programming
"I'm going to upload a CSV file for you. I want you to analyze it and summarize the most relevant conclusions you can draw from the data". A few years ago, data analysis was the territory of those who knew how to write code and use complex technical environments, and such a request would have requir…
Redefining the regulatory framework on data in the context of artificial intelligence: the renewed European Union Strategy
La The European Commission has recently presented the document setting out a new EU Strategy in the field of data. Among other ambitious objectives, this initiative aims to address a transcendental challenge in the era of generative artificial intelligence: the insufficient availability of…
Challenges and adjustments in measuring the impact of open data in the age of AI
For more than a decade, open data platforms have measured their impact through relatively stable indicators: number of downloads, web visits, documented reuses, applications or services created based on them, etc. These indicators worked well in an ecosystem where users – companies, journalists…
The antidotes to the AI slop: how to rethink our relationship with content
Massive, superficial AI-generated content isn't just a problem, it's also a symptom. Technology amplifies a consumption model that rewards fluidity and drains our attention span.
We listen to interviews, podcasts and audios of our family at 2x. We watch videos cut into highlights, and we base decisi…
Metadata to increase the reuse of open data in machine learning
Open data is a central piece of digital innovation around artificial intelligence as it allows, among other things, to train models or evaluate machine learning algorithms. But between "downloading a CSV from a portal" and accessing a dataset ready to apply machine learning techniques , there i…
From chatbots to autonomous agents: Agent AI in public services
Three years after the acceleration of the massive deployment of Artificial Intelligence began with the launch of ChatGPT, a new term emerges strongly: Agentic AI. In the last three years, we have gone from talking about language models (such as LLMs) and chatbots (or conversational as…
Open data, artificial intelligence and the environment
The convergence between open data, artificial intelligence and environmental sustainability poses one of the main challenges for the digital transformation model that is being promoted at European level. This interaction is mainly materialized in three outstanding manifestations:
The opening of hi…
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…
