create or whether to create new works at all. We examine creators' behavioral change when their works become training data …

create or whether to create new works at all. We examine creators' behavioral change when their works become training data …

respective training data. Yet, a perfect model that learns from and reproduces erroneous data will always be flawed in its real … trained on human-annotated data. For the collection of human-annotated training data, best practices often do not exist and … label options may affect training data quality and model performance. In this paper, I will outline and summarize previous …

historical training data, but only if the human training decisions are sufficiently noisy; otherwise, the algorithms will codify …

historical training data, but only if the human training decisions are sufficiently noisy; otherwise, the algorithms will codify …