Guidance on Generative AI, strengthening data protection in a rapidly changing digital era
The following guidelines are an update of the guidance published in 2024.
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.
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:
Two centuries of technological progress have redefined society, as industrial and digital automation have modified how people live, work, and how we interact with each other. What began with mechanised production lines to increase efficiency has evolved into autonomous and semi-autonomous systems capable of analysing data and making decisions with minimal human involvement. Propelled by breakthroughs in Artificial Intelligence (AI) - such as deep learning and transformer architectures - this automation now spans a wide range of sectors, including healthcare, finance, military defence, transportation, and public administration.
The International Working Group on Data Protection in Technology (Berlin Group) met in Tbilisi, Georgia, on 2–3 July 2025.
Following you can find the documents adopted during this event:
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