{"id":7229,"date":"2021-11-02T16:51:46","date_gmt":"2021-11-02T16:51:46","guid":{"rendered":"https:\/\/coesneec.com\/ciees\/?p=7229"},"modified":"2026-10-06T19:01:32","modified_gmt":"2026-10-06T19:01:32","slug":"ai-and-privacy-data-protection-in-the-age-of-2","status":"publish","type":"post","link":"https:\/\/coesneec.com\/ciees\/ai-and-privacy-data-protection-in-the-age-of-2\/","title":{"rendered":"AI and Privacy: Data Protection in the Age of Artificial Intelligence"},"content":{"rendered":"

\"AI<\/p>\n

These risks may include possible harm to those who aren\u2019t users of the system but whose personal information might be inferred through advanced data analysis. They must keep users informed about the processing of personal data and follow data protection rules. In one headline-making instance, ChatGPT, the large language model (LLM) from OpenAI, showed some users the titles of other users\u2019 conversation histories.5 Risks exist for small, proprietary AI models as well.<\/p>\n<\/p>\n

\"AI<\/p>\n

Compliance with one does not guarantee compliance https:\/\/medhaavi.in\/power-of-blockchain-in-a-paradigm-shift-in-technology\/<\/a> with the other. Technical documentation must enable regulatory audits of training approaches and data handling. The EU AI Act introduces obligations specifically addressing high-risk AI systems. Data minimisation in AI development creates practical tensions. The General Data Protection Regulation applies to AI data processing involving EU residents regardless of where processing occurs.<\/p>\n<\/p>\n