The paper reviews current societal, moral, and legal norms around explanations, and then focuses on the different contexts under which an explanation is currently required under the law. It ultimately finds that, at least for now, AI systems can and should be held to a similar standard of explanation as humans currently are.
This Comment, published in the JOLT Digest, is the first in a two-part series on how lawyers should think about art generated by artificial intelligences, particularly with regard to copyright law. This first part charts the anatomy of the AI-assisted artistic process.
CopyrightX is a networked course that explores the current law of copyright; the impact of that law on art, entertainment, and industry; and the ongoing debates concerning how the law should be reformed.
featuring Catherine Knight Steele, University of Maryland
This open letter — signed by Harvard and MIT-based faculty, staff, and researchers— is directed to the Massachusetts Legislature to inform its consideration of risk assessment tools as part of ongoing criminal justice reform efforts in the Commonwealth.
featuring author Ethan Katsh
Curricle with Professor Jeffrey Schnapp, metaLAB Harvard
featuring public health researcher and educator Caroline Weinberg, MD, MPH
This report explains the dramatic increase in Internet censorship in Egypt, examines the Twitter conversation around website blocking in Egypt, and identifies ways that users disseminate banned content.