Description
Product Category: Best Practices Guides
Format: PDF
Best Practices for Ensuring Data Anonymization in AI Systems
Data anonymization has become critical in AI development as organizations navigate increasingly stringent privacy regulations and growing public concern about data protection. The challenge lies in maintaining the utility of data for AI training while ensuring individual privacy is protected through robust anonymization techniques. Here are the best practices for implementing effective data anonymization strategies that comply with privacy regulations while preserving the analytical value necessary for AI systems. These practices address technical implementation and governance considerations, ensuring a balanced data protection and utility approach.
Paid subscribers can login and download the PDF file. In addition to this, there are 100 other Best Practices guides in this series. For a complete list of Best Practices, please visit https://www.kognition.info/best-practices-guides/