AI Privacy in 2026: Practical Rules for Building Features Without Creating Legal Risk
AI features in 2026 are no longer experimental add-ons. They sit directly inside products that handle personal data, business workflows, and sensitive decisions. This shift has made privacy a design constraint, not a legal afterthought. Teams that treat privacy as something to “fix later” are discovering that retrofitting controls is expensive, disruptive, and sometimes impossible … Read more