What type of study is this?

This is a Systematic Review study.

September 5, 2025Open Access

Large Language Models and Privacy in the Corporate Context | Large Language Models e privacy nel contesto aziendale

Puntos clave

The integration of large language models presents significant privacy risks, with increasing concerns about data breaches and unauthorized access.
Key legal frameworks like GDPR play a crucial role in guiding corporate compliance while implementing large language models.
This review emphasizes necessary strategies for addressing privacy challenges associated with the deployment of large language models in business.
Ethical considerations related to large language models and their societal impact are highlighted, underscoring the need for responsible usage.

Resumen

The rapid development of Large Language Models (LLMs), such as GPT-3 and GPT-4, has transformed corporate functions, yet their integration raises critical privacy concerns. These models require vast amounts of training data, often including sensitive corporate information, which increases risks of data breaches and unauthorized access. This systematic review explores privacy challenges, model privacy strategies, and ethical considerations. By identifying key legal frameworks such as the GDPR and the AI Act, this paper aims to provide insights into corporate compliance and the responsible eployment of LLMs.

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