What happens when our criminal justice system uses algorithms to help judges determine bail, sentencing, and parole?
An international symposium aimed at building capacity and exploring ideas for data democratization and inclusion in the age of AI.
AI-based systems are “black boxes,” resulting in massive information asymmetries between the developers of such systems and consumers and policymakers. In order to bridge this information gap, this article proposes a conceptual framework for thinking about governance for AI.
featuring Dennis Tenen, Assistant Professor of English and Comparative Literature at Columbia University
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.