• The Shanghai courts held a two-month trial of an AI-based system to assist in criminal investigations. “By the end of June, the … project had recorded 60 cases and a total of 19,316 pieces of evidence, provided evidence guidance on more than 2,000 occasions, and found a total of 48 flawed evidences….”

 

“US and Swiss project, OpenLaw, is launching a new smart contract platform that will allow lawyers to make legally binding and self-executing agreements….”, and

“LawBot, has rebranded its overall name to ‘Elexirr‘ and challenged the legal community to a battle to prove the accuracy of its case prediction software.” (This should end some of the confusion with LawBot.co, the contract review software, and with the general term, “lawbot.”)

 

  • Snoop around the net for “LawBot” and you’ll eventually find yourself in Toontown. Specifically, Loopy Lane in Toontown Central and Maple Street in Daisy Gardens. There you will meet such LawBots as Bloodsucker, Spin Doctor and Legal Eagle (each with a trading card!). In Toontown, Lawbots are: “(m)aster of both the frivolous lawsuit and the threatened legal action, LawBots are cold-blooded machines with a thing for rules.”

Toontown Rewritten (TTR) is an online game, based on Disney’s now defunct Toontown. TTR is now in beta mode. The main antagonists of the game are evil business robots trying to take over Toontown. They sound a lot like AI.

 

  • Here’s more about governments’ getting behind AI in their countries:

Japan is building the world’s fastest supercomputer. “Its supersonic speed will also help Japan develop advances in artificial intelligence technologies, such as ‘deep learning.'”

China’s State Council has issued a guideline on AI intended to “to promote the country’s technology, economy & social welfare, maintain national security, and contribute to the world.” It includes a call for laws and regulation.

In the story cited above, the Chinese government invested in AI “to promote justice and improve judicial efficiency.”

 

  • This opinion piece from Sunday’s NYT explains how progress in AI may be “stuck” and suggests a solution.