EDRi-gram,14 June 2023

It’s getting hot in here – and we don’t just mean the weather. By the time this EDRi-gram reaches your inbox, the EU Parliament will have voted on the AI Act and the "e-Evidence" package. This is a crucial moment for the AI Act as we push hard and keep our fingers crossed for all the wins of the committee vote to remain after the plenary. We also have serious concerns about the e-Evidence proposal posing a threat to our fundamental rights. Along with other civil society groups, doctors and journalists organisations and internet service providers, we are calling on Members of European Parliament to reject this package. In this edition you can also read about what changed in the ten years since Snowden’s revelations about mass surveillance by the US government.

By EDRi · June 14, 2023



The AI debate: EU lawmakers move closer to new regulation


EDRi’s Senior Policy Advisor, Sarah Chander, chatted with CNN International about the EU AI Act, which could affect future US regulations on AI. She highlights bans on facial recognition and predictive policing, and increased transparency and accountability for the use high-risk AI as significant wins. Watch the video.



Messaging guide for NGOs to create public support for equality

Civil Liberties Union for Europe

Civil Liberties Union for Europe created a guide on how to communicate on the rights of people from marginalised groups. It will help you avoid common mistakes and includes tips on what you should do instead. United in diversity, we can strive for equality! Discover the guide now.


Jason Scott and the forgetfulness of the internet

EDRi member, Drzavljan D

EDRi member Citizen D had a little chat with Jason Scott on his work with the internet archive, the challenges of archiving the digital age and other related topics like what is the best way to preserve our digital memories, how do internet historians decide on what to archive and what to abandon and other questions related to his work. Listen to the podcast.


Lost in Translation: Large Language Models in Non-English Content Analysis

Center for Democracy and Technology

Western technology companies have long struggled with offering their services in languages other than English. A combination of political and technical challenges have impeded companies from building out bespoke, automated systems that function in even a fraction of the world’s 7,000+ languages. With large language models powered by machine learning, online services think they’ve solved the problem. But have they? Read the report.