Privacy Engineering for All: Operationalizing Data Minimization | IAPP Canada Privacy Symposium 2024
In today’s world, access to large amounts of data is considered a valuable asset, especially within the context of building AI systems. However, having such access may run counter to fundamental privacy principles. Privacy regulatory regimes globally recognize that data minimization is imperative to reducing privacy risks.