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Retrieving Personal Data from AI Knowledge Bases.
Summary
AI knowledge bases can contain personal information from multiple business systems, creating new challenges when organisations need to respond to a DSAR. Finding, reviewing and appropriately redacting this information requires a clear understanding of how AI systems store and access data.
Retrieving Personal Data from AI Knowledge Bases
As businesses increasingly use AI knowledge bases, personal data can be spread across documents, emails, databases, customer records and internal systems connected to AI tools.
This creates a new challenge when someone submits a Data Subject Access Request (DSAR). Organisations need to identify where the individual’s personal information exists and ensure relevant data is included in the response.
AI systems can make this difficult because information may be indexed or retrieved from multiple sources. Simply searching traditional document storage may therefore not be enough.
Organisations should understand what data their AI systems access, where it comes from and how it can be retrieved. Relevant information must then be reviewed carefully, with third-party personal data and other protected information appropriately redacted.
As AI becomes part of everyday business processes, including AI knowledge bases in the DSAR discovery process will become increasingly important for maintaining effective and compliant data access procedures.
