Sunday, June 02, 2024

Chat away…

https://scholarship.law.slu.edu/lj/vol68/iss3/15/

Artificial Intelligence and the Practice of Law: A Chat With ChatGPT

In late 2022, OpenAI introduced ChatGPT to the world. At the time of writing this article, ChatGPT and other generative AI models were no longer used only to generate silly responses but were being considered for substantive work in our daily lives. Specifically, this article highlights how ChatGPT and other learned language models can have a strong impact on the practice of law. Within this article, the uses of these forms of AI are explained on multiple levels: the individual attorney, the law firm, and the non-attorney. Along with its diverse applications, this article delves into potential ethical dilemmas and data privacy concerns an attorney should be mindful of when implanting this tool into their practice. In sum, this article provides a comprehensive overview of ChatGPT, demonstrating its potential as a tool for legal professionals while also emphasizing the need for careful consideration of its ethical implications.





Three strikes?

https://kiss.kstudy.com/Detail/Ar?key=4091807

Can AI become an Expert?

With the rapid development of artificial intelligence (AI), understanding its capabilities and limitations has become significant for mitigating unfounded anxiety and unwarranted optimism. As part of this endeavor, this study delves into the following question: Can AI become an expert? More precisely, should society confer the authority of experts on AI even if its decision-making process is highly opaque? Throughout the investigation, I aim to identify certain normative challenges in elevating current AI to a level comparable to that of human experts. First, I will narrow the scope by proposing the definition of an expert. Along the way, three normative components of experts -trust, explainability, and responsibility-will be presented. Subsequently, I will suggest why AI cannot become a trustee, successfully transmit knowledge, or take responsibility. Specifically, the arguments focus on how these factors regulate expert judgments, which are not made in isolation but within complex social connections and spontaneous dialogue. Finally, I will defend the plausibility of the presented criteria in response to a potential objection, the claim that some machine learning-based algorithms, such as AlphaGo, have already been recognized as experts.



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