Stanovisko 15/2018 k navrhovanému zoznamu príslušného dozorného orgánu Malty týkajúceho sa spracovateľských operácií, ktoré podliehajú požiadavke na posúdenie vplyvu na ochranu údajov (článok 35 ods. 4 všeobecného nariadenia o ochrane údajov)

3 October 2018

Stanovisko 15/2018 k navrhovanému zoznamu príslušného dozorného orgánu Malty týkajúceho sa spracovateľských operácií, ktoré podliehajú požiadavke na posúdenie vplyvu na ochranu údajov (článok 35 ods. 4 všeobecného nariadenia o ochrane údajov) 1.2MB

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The AI Privacy Risks & Mitigations Large Language Models (LLMs) report puts forward a comprehensive risk management methodology for LLM systems with a number of practical mitigation measures for common privacy risks in LLM systems.
In addition, the report provides use cases examples on the application of the risk management framework in real-world scenarios:

first use case: a virtual assistant (chatbot) for customer queries,
second use case: LLM system for monitoring and supporting student progress and,
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Large Language Models (LLMs) represent a transformative advancement in artificial intelligence. They are deep learning models designed to process and generate human-like language trained on extensive datasets. Their applications are diverse, ranging from text generation and summarisation to coding assistance, sentiment analysis, and more.

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Project completed by the external expert Isabel Barbera in April 2025.

Objective

The AI Privacy Risks & Mitigations Large Language Models (LLMs) report puts forward a comprehensive risk management methodology to systematically identify, assess, and mitigate privacy and data protection risks.

The report helps Data Protection Authorities (DPAs) to have a comprehensive understanding and state-of-the-art information on the functioning of LLMs systems and the risks associated with LLMs.

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