Artwork

Content provided by CC0/Public Domain. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CC0/Public Domain or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Jeffrey Lipshaw on Turing, the Halting Problem, AI & Lawyering

36:12
 
Share
 

Manage episode 237920461 series 2499158
Content provided by CC0/Public Domain. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CC0/Public Domain or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

  continue reading

791 episodes

Artwork
iconShare
 
Manage episode 237920461 series 2499158
Content provided by CC0/Public Domain. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CC0/Public Domain or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

  continue reading

791 episodes

Minden epizód

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide