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In this episode, Jeffrey Lipshaw, Professor of Law at Suffolk University Law School, discusses his article "Halting, Intuition, Heuristics, and Action: Alan Turing and the Theoretical Constraints on AI-Lawyering," which was published in the Savannah Law Review, as well as his current work on artificial intelligence. Lipshaw begins by explaining who Alan Turing was, and how he invented the "Turing machine" in order to answer a mathematical question. Essentially, Turing identified the "halting problem," which remains an inevitable feature of algorithmic data processing. Lipshaw explains how the halting problem can inform our thinking about the automation of legal practice and the core competencies of lawyers. Lipshaw is on Twitter at @JeffLipshaw.
This episode was hosted by Brian L. Frye, Spears-Gilbert Associate Professor of Law at the University of Kentucky College of Law. Frye is on Twitter at @brianlfrye.
Hosted on Acast. See acast.com/privacy for more information.
By CC0/Public Domain4.9
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In this episode, Jeffrey Lipshaw, Professor of Law at Suffolk University Law School, discusses his article "Halting, Intuition, Heuristics, and Action: Alan Turing and the Theoretical Constraints on AI-Lawyering," which was published in the Savannah Law Review, as well as his current work on artificial intelligence. Lipshaw begins by explaining who Alan Turing was, and how he invented the "Turing machine" in order to answer a mathematical question. Essentially, Turing identified the "halting problem," which remains an inevitable feature of algorithmic data processing. Lipshaw explains how the halting problem can inform our thinking about the automation of legal practice and the core competencies of lawyers. Lipshaw is on Twitter at @JeffLipshaw.
This episode was hosted by Brian L. Frye, Spears-Gilbert Associate Professor of Law at the University of Kentucky College of Law. Frye is on Twitter at @brianlfrye.
Hosted on Acast. See acast.com/privacy for more information.

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