How can organisations ensure data security and compliance when using AI particularly with sensitive member data?
Membership organisations handle sensitive data, making robust data security and compliance paramount. A "Red-Amber-Green" data classification framework is recommended:
• RED Data (High Risk): Highly sensitive or regulated data (e.g., financial details, health information, passwords). This data should not be used with general AI systems. It requires explicit written authorisation, enhanced monitoring, and use only with approved, secure AI systems with specific safeguards, adhering to data minimisation principles.
• AMBER Data (Medium Risk): Moderately sensitive data (e.g., member contact information, professional qualification records, internal meeting minutes). This data may be used with approved AI systems with appropriate controls and departmental approval, ensuring usage aligns with privacy notices.
• GREEN Data (Low Risk): Non-sensitive data (e.g., published resources, anonymised statistics, ALL event information). This data can be used with approved AI systems with minimal restrictions and standard organisational security controls.
Additionally, key considerations include UK/EU Data Sovereignty, Audit Capabilities, No Model Training with Business Data, Administrative Controls, and Microsoft Purview Integration.
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