10 Steps for GDPR Compliance

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When adopting AI tools in your business, organisations must ensure compliance with GDPR and other data protection regulations. Before signing up for new software, apps, online applications, new tech suppliers and AI applications, you must engage consciously with the process and follow these ten essential steps:

a.     Legal Basis & Lawfulness: Establish a valid legal basis under GDPR for processing personal data through AI tools, and an additional basis for special category data.

b.     Data Protection Impact Assessment (DPIA): Conduct a DPIA before implementing any AI system that involves high-risk processing, particularly automated decision-making or profiling.

c.      Vendor Due Diligence & Data Processing Agreements: Review vendor security, data storage locations, and execute a Data Processing Agreement (DPA) under GDPR that defines obligations and safeguards.

d.     Record of Processing Activities (ROPA): Maintain comprehensive records of ALL processing activities and update your ROPA to include AI tools and applications.

e.     Data Minimisation & Purpose Limitation: Only process personal data that is adequate, relevant, and necessary, and ensure AI processing remains within the original collection purpose.

f.      Transparency & Data Subject Rights: Update privacy notices to explain AI-driven processing and ensure mechanisms exist for data subjects to exercise their rights.

g.     Automated Decision-Making Safeguards: Implement safeguards for automated decisions including human intervention rights, contestability, and regular accuracy and bias testing.

h.     Security Measures & Breach Protocols: Implement appropriate technical and organisational measures and maintain procedures to detect, report, and investigate breaches within 72 hours.

i.       International Data Transfers: If your AI vendor processes data outside the EEA, ensure valid transfer mechanisms and verify data storage locations and sub-processor arrangements.

j.       Accountability & Governance: Demonstrate GDPR compliance through documentation, policies, training, and ongoing monitoring, and consider appointing a Data Protection Officer if required.

When adopting AI tools in your business, organisations must ensure compliance with GDPR and other data protection regulations. Before signing up for new software, apps, online applications, new tech suppliers and AI applications, you must engage consciously with the process and follow these ten essential steps:

a.     Legal Basis & Lawfulness: Establish a valid legal basis under GDPR for processing personal data through AI tools, and an additional basis for special category data.

b.     Data Protection Impact Assessment (DPIA): Conduct a DPIA before implementing any AI system that involves high-risk processing, particularly automated decision-making or profiling.

c.      Vendor Due Diligence & Data Processing Agreements: Review vendor security, data storage locations, and execute a Data Processing Agreement (DPA) under GDPR that defines obligations and safeguards.

d.     Record of Processing Activities (ROPA): Maintain comprehensive records of ALL processing activities and update your ROPA to include AI tools and applications.

e.     Data Minimisation & Purpose Limitation: Only process personal data that is adequate, relevant, and necessary, and ensure AI processing remains within the original collection purpose.

f.      Transparency & Data Subject Rights: Update privacy notices to explain AI-driven processing and ensure mechanisms exist for data subjects to exercise their rights.

g.     Automated Decision-Making Safeguards: Implement safeguards for automated decisions including human intervention rights, contestability, and regular accuracy and bias testing.

h.     Security Measures & Breach Protocols: Implement appropriate technical and organisational measures and maintain procedures to detect, report, and investigate breaches within 72 hours.

i.       International Data Transfers: If your AI vendor processes data outside the EEA, ensure valid transfer mechanisms and verify data storage locations and sub-processor arrangements.

j.       Accountability & Governance: Demonstrate GDPR compliance through documentation, policies, training, and ongoing monitoring, and consider appointing a Data Protection Officer if required.