Addressing the Data Protection and Ethical Challenges posed by AI in Health – Part 2
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Scalable Extraction of Training Data from (Production) Language Models
A research study identifies vulnerabilities across various types of Language Models, ranging from open source (Pythia) to closed models (ChatGPT), and semi-open models (LLaMa). The vulnerabilities in semi-open and closed models are particularly concerning due to the non-public nature of their training data.
iliomad is launching its UK entity !
We're thrilled to share the exciting news of launching our inaugural affiliate in the UK!
CNIL's Recommendation : AI Providers & Legal Responsibilities
The French Data Protection Authority, the Commission Nationale de l’Informatique et des Libertés (CNIL) published a guide about the legal qualification of AI System providers.
The Bletchley Declaration - AI Safety Summit
Why Bletchley ? It was at Bletchley Park that the Enigma code was successfully deciphered during WW2 …
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The Clinical Trial Information System (CTIS) and Data Privacy: A Guide for Clinical Trial Sponsors
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