Large Language Models and Privacy in the Corporate Context | Large Language Models e privacy nel contesto aziendale
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.
Authors
- Guendalina Capece (ORCID: https://orcid.org/0000-0001-7839-4837)
- Lucilla Gatt (ORCID: https://orcid.org/0000-0001-7730-7180)
- Vittoria BONINO
Institutions
- Prime Minister's Office (BN)
- Università degli Studi Suor Orsola Benincasa (IT)
- Mercatorum University (IT)
Publication Details
- Journal
- European Journal of Privacy Law & Technologies
- Published
- 2025-01-01
- DOI
- https://doi.org/10.57230/ejplt251gclgvb
- Citations
- 1
- Primary Topic
- Corporate Governance and Law
- Type
- article
- Field-Weighted Citation Impact
- 2.23