Compliance with GDPR and CCPA in the context of AI and machine learning requires that organizations meet specific data protection obligations when collecting, processing, and using personal data for model training, inference, and deployment.

GDPR (General Data Protection Regulation) — EU

• Lawful Basis: Must have a legal basis for processing personal data — typically legitimate interest or consent for ML training.
• Purpose Limitation: Data collected for one purpose cannot be repurposed for model training without additional justification.
• Data Minimization: Only collect and process the minimum data necessary for the intended purpose.
• Right to Erasure ("Right to be Forgotten"): Individuals can request deletion of their data — this may require model retraining or machine unlearning if their data was used for training.
• Right to Explanation: Automated decisions that significantly affect individuals require meaningful information about the logic involved.
• Data Protection Impact Assessment (DPIA): Required for high-risk processing activities, including large-scale profiling and automated decision-making.
• Fines: Up to €20 million or 4% of global annual revenue, whichever is higher.

CCPA/CPRA (California Consumer Privacy Act) — US

• Right to Know: Consumers can request what personal information is collected and how it's used.
• Right to Delete: Consumers can request deletion of their personal information.
• Right to Opt-Out: Consumers can opt out of the sale or sharing of their personal information.
• Non-Discrimination: Cannot discriminate against consumers who exercise their privacy rights.
• Fines: Up to $7,500 per intentional violation.

AI-Specific Compliance Challenges

• Training Data Provenance: Maintaining records of what data was used to train which models.
• Model Unlearning: Efficiently removing an individual's influence from a trained model without full retraining.
• Automated Decision Transparency: Explaining how an ML model reached a specific decision.
• Cross-Border Data Transfers: GDPR restricts transferring EU citizens' data outside the EU.

Compliance is not optional — organizations deploying AI systems that process personal data must integrate privacy-by-design principles throughout their ML pipelines.