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Ai, Algorithms, And Awful Humans, Daniel J. Solove, Hideyuki Matsumi
Ai, Algorithms, And Awful Humans, Daniel J. Solove, Hideyuki Matsumi
Fordham Law Review
A profound shift is occurring in the way many decisions are made, with machines taking greater roles in the decision-making process. Two arguments are often advanced to justify the increasing use of automation and algorithms in decisions. The “Awful Human Argument” asserts that human decision-making is often awful and that machines can decide better than humans. Another argument, the “Better Together Argument,” posits that machines can augment and improve human decision-making. These arguments exert a powerful influence on law and policy.
In this Essay, we contend that in the context of making decisions about humans, these arguments are far too …
Chatgpt, Large Language Models, And Law, Harry Surden
Chatgpt, Large Language Models, And Law, Harry Surden
Fordham Law Review
This Essay explores Artificial Intelligence (AI) Large Language Models (LLMs) like ChatGPT/GPT-4, detailing the advances and challenges in applying AI to law. It first explains how these AI technologies work at an understandable level. It then examines the significant evolution of LLMs since 2022 and their improved capabilities in understanding and generating complex documents, such as legal texts. Finally, this Essay discusses the limitations of these technologies, offering a balanced view of their potential role in legal work.