Final answer:
Radioactive data tracing offers the advantage of not impacting a model's performance while allowing the tracking of input data through a model's training or use. It employs radioactive isotopes that emit detectable radiation without altering the data's inherent characteristics.
Step-by-step explanation:
The primary advantage of radioactive data tracing over past techniques that modify input is that radioactive data tracing doesn't impact a model's performance. Unlike traditional methods that may alter the input data, possibly affecting its utility or the outcome of the training, radioactive data tracing involves marking the data with subtle changes that do not affect the data's usefulness or the model's performance. By incorporating radioactive isotopes with the same chemical properties as stable isotopes, any emitted radiation can be detected without altering the inherent properties of the substance. This allows the tracking of where the data has been used or leaked without compromising the integrity of the data or the accuracy of the model.