Rapidly accelerating commercial data-mining tools often scrap institutional digital scholarship repositories without explicit permission, raising significant concerns regarding copyright and intellectual property control. In what ways can university libraries establish proactive technical boundaries to protect student and faculty open-access research from unauthorized commercial AI training models?
