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The Georgetown Law Journal is, first and foremost, a scholarly journal; central to our mission is the publication of rigorous and original contributions to the …
Algorithmic fairness has attracted significant attention in recent years, with many quantitative measures suggested for characterizing the fairness of different machine learning algorithms. Despite this …
The Minnesota Law Review (ISSN 0026-5535) is published six times a year in November, December, February, April, May, and June by the Minnesota Law Review …
This viewpoint article first explores the ethical challenges associated with the future application of large language models (LLMs) in the context of medical education. These …
Machine learning models, as tools of artificial intelligence, have an increasingly strong potential to become an integral part of judicial decision-making. However, the technical limitations …
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Abstract The recent computational turn carries the potential to both enrich and destabilise international law research. Epistemologically, it offers a repertoire of data science methods, …
AbstractThis paper presents an intuitive explanation about why and how Rawlsian Theory of Justice (Rawls in A theory of justice, Harvard University Press, Harvard, 1971) …