• In this sponsored piece from Artificial Lawyer, Kira presents three use cases for it’s AI-based solutions: Brexit, GDPR and IFRS 16.

 

  • Compliance: the growing threat from money laundering and terrorist financing has required anti-money laundering legislation to become more stringent worldwide. AI can be a major part of the solution as it is able to search for unstructured data in the Deep Web and across languages much better, faster and cheaply than humans.

 

  • Squire Patton Boggs has advised Appen Limited (developer of high-quality, human-annotated datasets for machine learning and artificial intelligence) in debt financing associated with its acquisition of Leapforce, Inc. and RaterLabs, Inc.

 

  • There’s a LOT of M&A and IP legal work being generated by the big AI players, and in this article Annie Palmer expects much more to come. As I have said before, the smartest law firms should be considering use of AI in practice of law, in their businesses, and possibly establishing an AI industry group to serve the dispute, deal and IP work being generated by this industry.

 

  • New for the 2018 CES show will be the “Artificial Intelligence Marketplace.” “the destination for the latest innovations in AI infrastructure and computer systems able to perform human-intelligence tasks.”

 

  • Google’s DeepMind has recently proven to be the master of board games “generally.” Just give it the rules and it will beat all computer and human challengers — with no training. While this may be an important step toward the holy grail of General AI, Oren Etzioni, head of the Allen Institute for Artificial Intelligence, who called this an “impressive technical achievement” echoed the words of Hamlet: “There are more things in heaven and earth than are dreamt of in DeepMind’s philosophy.” To put it another way: the Google subsidiary has made a name for itself by beating humans at board games, but it is important to keep things in perspective.

 

  • News you can use: Check out the tips at iPhone J.D. My favorite of these is the text replacement feature; I type “millc” on my iPhone or iPad, and “Market Intelligence LLC” appears.

 

  • It’s Friday, so here’s a thought piece. One of the biggest criticisms of AI is it’s ‘black box” nature. That is, we know AI systems can be extraordinarily effective in making good predictions, but the inherent nature of its algorithms (e.g., neural networks) makes it very difficult to understand how and why those predictions are made. I have recently posted a couple of articles about using AI to better understand the decisions made by AI. (Is you head spinning yet?) Anyway, this article goes into some of the reasons it’s important for us to understand the how & why of AI decisions. (Not to mention the need for courts to have these questions answered when assigning liability.)

 

  • And here’s one of my favorite topics for your weekend cogitation. Can AI be conscious?