• From Artificial Lawyer: “Ashurst has become the latest major law firm to join smart contract consortium, the Accord Project, which is seeking to build industry standards for this new form of self-executing contracting. Tae Royle, head of digital legal services at Ashurst, said: ‘Smart contracts are already being used to manage hundreds of millions of dollars’ worth of cryptocurrency and digital assets globally. But we lack common standards and frameworks for ensuring legal enforceability of smart contracts.’” The article includes discussion of the need for global regulation and an up-to-date list of the consortium participants.

 

  • Here’s an interesting discussion of the legal risks inherent in insurance companies using chatbots to deal with customers.

 

  • From The Economist, this discussion of the legal risks associated with implementation of various forms of AI in the workplace. If you have an Employment Law practice, your attorneys should be up-to-speed on these issues.

 

  • Speaking of keeping your firm’s practices engaged in AI, investment in AI and AI-related M&A continue to be very robust globally. As is about typical, I noticed three substantial deals just this morning: a $35 million round, “Digital Air Strike announced it has acquired the privately held A.I. chat technology business of Eldercare Technology Inc. (d.b.a. Path Chat),” and “Thales Launches Its Offer on All Gemalto Shares.”

Here’s a report on the overall forecast for the global AI software market through 2022.

 

  • From Norton Rose: “Better, faster, stronger: revamping the M&A due diligence process with Artificial Intelligence platforms.”

 

  • “Global law firm Hogan Lovells today publishes Life Sciences and Health Care Horizons, a forward looking report that identifies current and evolving trends that are shaping the future of the industry.” Of course, AI is included. “

 

  • Recent advances in AI have depended on three underlying advances: 1) more sophisticated analytic algorithms, 2) availability of Big (and Bigger) Data sets, and 3) increased processing power. The latter is about to make another big step forward as, “Nvidia has unveiled several updates to its deep-learning computing platform, including an absurdly powerful GPU and supercomputer.” It will have the processing power of 2000 MacBook Pros. And, “… the company has doubled the memory capability of its Tesla V100 GPU, which the company claims delivers the performance of up to 100 CPUs in one graphics processor. This isn’t the GPU in your gaming PC — it powers artificial intelligence research and deep machine learning.” Details here.

 

  • Well-informed citizens should have a general idea of how AI is being used by the military, so here are a couple of updates:

“DARPA to use artificial intelligence to help commanders in ‘gray zone’ conflicts.” ‘Gray zones’ being “… those in which state and non-state competition becomes conflict but remains below the level of conventional warfare. Experts have pointed to Russia’s use of hybrid threats in Ukraine and other areas, along with China’s aggression in the South China Sea as examples.” “The ultimate goal of the program is to provide theater-level operations and planning staffs with robust analytics and decision-support tools that reduce ambiguity of adversarial actors and their objectives.”

– From The Hill, here’s, “Artificial intelligence is rapidly transforming the art of war,” a good overview of three uses of AI in war, including use of AI to win over the hearts and minds of the people (i.e., propaganda).

 

  • Finally, I expect George Orwell would have found Big Brother’s activities in China too far fetched to make credible fiction. Most recently, “China is using AI and facial recognition to fine jaywalkers via text.” Details here.