{"id":4269099,"date":"2023-01-11T18:45:08","date_gmt":"2023-01-11T16:45:08","guid":{"rendered":"https:\/\/www.deptagency.com\/insight\/how-to-be-gdpr-compliant-in-ai-ml-models\/"},"modified":"2025-12-08T13:38:30","modified_gmt":"2025-12-08T11:38:30","slug":"how-to-be-gdpr-compliant-in-ai-ml-models","status":"publish","type":"article","link":"https:\/\/www.deptagency.com\/en-au\/insight\/how-to-be-gdpr-compliant-in-ai-ml-models\/","title":{"rendered":"How to become (and stay) GDPR compliant in AI & ML models"},"content":{"rendered":"
\n\t\n\t<\/svg>\n\t\t\t\n\t\t\tBack to all articles\t\t<\/span>\n\t\n<\/button>\n\t\tHow to become (and stay) GDPR compliant in AI & ML models\t<\/h1>\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t<\/picture>\n\t\n\t<\/div>
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\n\t\tJonathan Whiteside\t\t
\n\t\tGlobal EVP Technology\n\t\t\t<\/div>\n<\/div>\n\t
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\n\t\t\t\t\t11 January 2023\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<\/div>\n<\/div>\n\n
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\n\t\tIt\u2019s one thing to get to GDPR compliance, and it\u2019s another thing to stay in compliance, especially when your data is big, unstructured, and changing by the minute. This is a common challenge for data science teams around the world, and without systems and strategies in place, you could become subject to a hefty GDPR fine<\/a>.\u00a0\u00a0

This is a real challenge for AI and machine learning teams because they can use terabytes of data, in various formats to create AI and machine learning models. And in many organizations, data scientists desire the autonomy to create datasets on an as-needed basis without oversight.\u00a0

The only problem here is that Personally Identifiable Information (PII) lurks within all that self-managed, ever-changing data, and this keeps teams from being in compliance with GDPR.\u00a0

Asking data scientists to self-manage PII is unfeasible, as is the notion of limiting them from creating datasets and models.\u00a0\t<\/p><\/div><\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\n\t