The future of AI is not something that will simply happen to us. It is the result of choices about who designs technology, who owns it, who controls it, and to whom they are accountable. One of the most dangerous ways we talk about Artificial Intelligence today is as if it were a natural phenomenon. […]
The trap of the US-China AI race The American debate on artificial intelligence is increasingly shaped by one simple but dangerous sentence: if we slow down, China will overtake us. This sentence has become a political shortcut. It allows major technology companies and their allies to describe regulation, safety testing and public accountability as threats […]
Scientific Arguments Against Uncritical Deployment in the Public Sector Artificial Intelligence is frequently presented as a neutral instrument of modernization within public administration. Claims of efficiency and cost reduction dominate policy discourse. Yet a growing body of scientific research demonstrates that uncritical deployment of AI systems in public institutions poses structural risks to democratic governance, […]
A policy case for Greek as a national and European language data infrastructure Large language models depend on vast amounts of text, but scale without legal clarity produces fragile systems. Datasets built on opaque web crawling cannot guarantee lawful reuse, redistribution, or long-term sustainability. The German Commons provides a clear alternative: 154.56 billion tokens of […]
Brussels, 15/5/2020 – Yesterday, in plenary, the European Parliament endorsed a number of budgetary discharge reports, which include Pirate amendmentsurging EU institutions to predominantly use Open Source solutions. This success happened despite the joint effort of the EPP and ECR Groups to strike out these essential parts of the reports. In practice, from now on, all IT solutionsdeveloped by and for the EU institutions willfirst needto beassessed against the possibility of using Open Source solutions. Assessments will then have to be reported back […]