We show how to create an informational norm that constrains the use of proxies in AI-driven surveillance. The norm creates privacy in public by implementing conditions on the flow of information that control the use of that information as proxy variables. There are a variety of possible conditions. The task is to choose one that implements an acceptable tradeoff between informational privacy and information processing. The norm we propose ensures that the use of proxies is fair and to that extent implements an acceptable tradeoff between informational privacy and information processing. There is, of course, more to finding such a tradeoff than just ensuring that the use of proxies is fair, and the process we describe creates a forum for addressing tradeoff issues in general. Our focus for the moment, however, is on fairness. The example of Sally from Chapter 2 illustrates the questions that arise. Sally’s car insurance premiums increase as a result of her bankruptcy.