text: The uses most relevant to this paper are those enabled by what HathiTrust refers to today as 
  the Research Center. The Center grew in part out of a research discipline called “digital 
  humanities,” which, among other things, seeks to use computational resources or other 
  digital technologies to analyze information and contribute to the study of literature, media, 
  history, and other areas. For instance, imagine you want to understand how a given term 
  (e.g., “war on drugs”) became used; one might seek to analyze when the term was ﬁrst used 
  and how often it was used over time by analyzing a vast quantity of sources, searching out 
  the term’s use. The insight here is that there is much to be learned not just from reading or 
  otherwise consuming speciﬁc material, but also from “non-consumptive research,” or 
  "research in which computational analysis is performed on one or more volumes (textual or 
  image objects)" to derive other sorts of insights. AI training is a type of non-consumptive use. 
  
  Today, the Center “[s]upports large-scale computational analysis of the works in the 
  HathiTrust Digital Library to facilitate non-proﬁt and educational research.” It includes over 18 
  million books in over 400 languages from the HathiTrust Digital Library collection. Roughly 
  58% of the corpus is in copyright. HathiTrust notes that, while this corpus is large, it has 
  limitations in terms of its representation across subject matter, language, geography, and 
  other dimensions. In terms of subject matter, the corpus is skewed towards humanities 
  (64.9%) and social sciences (14.3%). In terms of language, 51% of the books are in English, 