AEPD publishes technical note on data accuracy and minimisation in AI-based personal data processing
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Summary
On July 21, 2026, the Spanish data protection authority AEPD published a technical note analysing how the GDPR principles of accuracy and minimisation apply to personal data processing that uses artificial intelligence systems. It states that accuracy is assessed relative to the purpose of processing rather than as absolute truthfulness. It says data quality should be assessed for training datasets as a whole, including representativeness and absence of bias, and also for AI outputs such as inferences, predictions or decisions. It addresses synthetic data, anonymisation and bias correction, distinguishes development from later use, and stresses data governance, documented requirements, metrics and continuous monitoring.
Why it matters
The note gives controllers, processors and data protection officers criteria for applying GDPR accuracy and minimisation principles to AI systems. It indicates that stronger safeguards are expected where AI outputs affect specific individuals, and that quality requirements should be documented and monitored throughout the processing lifecycle.
- Parties involved
- Agencia Española de Protección de Datos (AEPD)
- Primary source
- AEPD (aepd.es)
Source retrieved: . Sources are often in other languages; links open the original. - Topics
- Privacy & automated decisions · General AI governance