Dataset watermark aims to reveal whether an AI model trained on marked data

The researchers introducing the watermark say it could help determine whether a model trained on a marked benchmark or dataset using only text the model generates through an API. They say it preserves the data’s utility and semantics and offers a provable false-positive guarantee.