• At the CLOC conference in London this Tuesday, opening speaker Richard Susskind remarked that AI’s “short-term predictions overstate the impact. However, in the long term, by the late 2020s or 2030s, it is hard to avoid the the conclusion that this isn’t going to replace fundamental parts of legal services.” Among his other provocative statements was: ““In-house lawyers have tolerated law firms’ old-fashioned ways of working. Clients don’t want just professionals; they want the outcomes they bring, and different ways of delivering them.” ”CLOC is a collective voice, and in-house lawyers can reconceptualise how legal services are delivered. The future of legal services is within the grasp of CLOC.”


  • Seattle University Law School to host Conference on Artificial Intelligence — includes panel on Robotic Speech. The panels look quite interesting, but if they’re going to be taken seriously re AI, they should learn how to spell “Siri.”

Be sure to have Alexa, or Echo, or Seri, or your Google Mini save the date for an important upcoming conference on artificial intelligence. On Saturday, February 17, 2018, from 9 am to 5 pm, Seattle University Law School will host a conference titled: Singularity: Artificial Intelligence & the Law.


  • Hogan Lovells has published “Two Steps Forward and a Step Back: Global Intellectual Property Outlook 2018.” Much of the content is relevant to AI. The specifics about AI are on page 20.


  • From attorneys at Butler Snow:

Dr. A.I.: The Evolution of the Use and Regulation of Artificial Intelligence in Medical Practice and Drug Development – Pro Te: Solutio Fall 2017, by Caroline L. Eley

Cybersecurity Threats in Healthcare – Pro Te: Solutio Fall 2017, by Paul S. Rosenblatt

Using Artificial Intelligence in Drug Discovery – Pro Te: Solutio Fall 2017, by Hollie A. Smith

  • More from the international race among governments to lead in AI: While in the US, the government is generally leaving serious investment to corporations, China is investing heavily as AI is a clear governmental imperative. UK Prime Minister Theresa May “says she wants the UK to lead the world in deciding how artificial intelligence can be deployed in a safe and ethical manner.”


  • Quite a bit has been written about how AI is using “adversarial networks” to advance. This piece from Scientific American is the best explanation of that process I’ve seen.


  • Singapore Management University, has launched an AI track in their Master of IT program.


  • Just for the hardcore AI tech Geeks: here in Tennessee, using Titan Cray XK7, the most powerful supercomputer in the U.S. for open science, ORNL developers thanks to the machine’s 18,600+ graphic processing units (GPUs), a type of computer hardware that involves massive amounts of matrix multiplications and one that’s well-suited to deep learning, were able to use MENNDL as a tool for testing and training thousands of potential neural networks simultaneously on unique science problems. Better yet, research showed that these auto-generated nets could be produced in a matter of hours as opposed to months using AI software developed by top-notch data scientists.