Artificial intelligence (AI) is a reality and has woven its way into everyday life: navigation systems, spam filters, weather forecasts to name but a few.
There have been significant advancements in the field of machine learning, a subset of AI. The machines learn due to the complex algorithms that allow them to analyse huge data sets and make predictions using these data. Along with enhancing the machines’ skills, increasing amounts of data are being collected and information on human behaviour are being monitored; all of which present challenges for privacy and data protection.
We are back and there is a lot to catch up on! Read on for events to register for; new EDPS publications and Opinions on AI and transatlantic data sharing; reflections on events on cross-border data protection, privacy tech and the AI Act; news on EDPS oversight of EU border systems; an update on a key court judgement; and more.
TechSonar report 2025-2026 explores six trends: agentic AI, AI companions, automated proctoring, AI-driven personalised learning, coding assistants and confidential computing.
This guide aims at providing valuable insights and practical recommendations to help identify and mitigate common technical risks associated with AI systems, helping in the protection of personal data.
The following guidelines are an update of the guidance published in 2024.
The 47th edition of the Global Privacy Assembly Annual Meeting took place this year in Seoul from the 15th to the 19th of September.
All reports and resolutions can be found here.
Following you can find the adopted resolutions during this year's GPA: