Powerful AI and data privacy: three insights from the Data State Inspectorate conference

Can artificial intelligence be powerful while also being responsible for data privacy? This was one of the central questions at the Data State Inspectorate's 25th anniversary conference "Personal Data | Future Perspectives".

Gatis Romanovskis and Līga Ignate addressed the balance between data protection and powerful AI model training in their presentation.

• Accuracy is determined by a clear objective. Large volumes of data do not inherently guarantee better results. Without a specific task, data usage becomes legally risky and technically inefficient.
• Local context prevents interpretation bias. Models based solely on global data often fail to accurately reflect local realities – language nuances and legal regulations.
• Privacy is a quality control mechanism. Compliance with GDPR requirements ensures that solutions are reliable and legally correct.

Data quality, context, and a responsible approach will determine which AI solutions will be practically usable and trustworthy.