As the use of AI becomes increasingly pervasive in business, machine learning models are one of the ways industries can best make the most of existing data to improve business outcomes.
But such ML models have a distinct drawback – they traditionally need huge amounts of data to make accurate forecasts. That data often includes personal information, the use of which is governed by data privacy regulations and guidelines, such as the EU’s General Data Protection Regulation (GDPR). GDPR sets a specific requirement called data minimization, which means that organizations can collect only the data they really need.
Keep reading at Data Minimization for AI models - Minimizing Machine Learning's Data Greed.