• Facial recognition AI has been in the news and on my mind a lot lately. Of course, there are legal implications, but regardless of that aspect, these developments are a big deal of which you should be aware.

– Traveling this 4th of July? Orlando’s airport has rolled out facial recognition for all departing passengers in an attempt to speed up lines (e.g., no need to show your passport at the gate). It takes two seconds and is 99%+ accurate. (Passengers can opt out.) This story from CBS News discusses the privacy implications.

– Could this get a bit out of control? Here’s a case study: “(a)cross China, a network of 176 million surveillance cameras, expected to grow to 626 million by 2020, keeps watch on the country’s over 1.3 billion citizens.” (That’s a camera for every two people.) And, the intent is total surveillance, including inside people’s homes. “According to the official Legal Daily newspaper, the 13th Five Year Plan requires 100 percent surveillance and facial recognition coverage and total unification of its existing databases across the country. By 2020, China will have completed its nationwide facial recognition and surveillance network, achieving near-total surveillance of urban residents, including in their homes via smart TVs and smartphones.” “Soon, police and other officials will be able to monitor people’s activities in their own homes, wherever there is an internet-connected camera.”

Are they effective? Last year, “(i)t took Chinese authorities just seven minutes to locate and apprehend BBC reporter John Sudworth using its powerful network of CCTV camera and facial recognition technology.” That story here. And the case of the stolen potato here.

– “We live in a surveillance society: A U.S. citizen is reportedly captured on CCTV around 75 times per day. And that figure is even higher elsewhere in the world. Your average Brit is likely to be caught on surveillance cameras up to 300 times in the same period.” This post describes how those images can be used to spot (and even predict) crime.

This post (This Japanese AI security camera shows the future of surveillance will be automated) shows AI technology being developed in Japan to spot shoplifters and discusses the concerns about such technologies.

Facebook and others (such as Adobe) are using such recognition technologies to disrupt terrorist networks and mitigate the spread of fake news. “(T)he biggest companies extensively rely on artificial intelligence (AI). Facebook’s uses of AI include image matching. This prevents users from uploading a photo or video that matches another photo or video that has previously been identified as terrorist. Similarly, YouTube reported that 98% of the videos that it removes for violent extremism are also flagged by machine learning algorithms.”

Amazon employees (like Google’s before them) are protesting their company’s selling of such technologies to the government. Amazon workers don’t want their tech used by ICE.

Many (including me) consider this a much more benevolent identity technology: Thousands of Swedes are inserting microchips into themselves – here’s why.

 

 

  • “Mishcon de Reya has joined the ranks of law firms with high-level in-house data science capability, hiring UCL computer scientist Alastair Moore as head of analytics and machine learning.

 

  • From O’MelvenyFTC Seeking Input on Topics to be Explored at Public Hearings on Competition and Consumer Protection in the 21st Century. Topics include: “(t)he consumer welfare implications associated with the use of algorithmic decision tools, artificial intelligence, and predictive analytics.”

 

  • Here, from Digital Journal, is a discussion of the general ways law firms are using AI: Q&A: How technology is shaking up legal firms.

 

  • From Artificial Lawyer, Wolters Kluwer Joins Global Legal Blockchain Consortium. “The GLBC is a global network of key stakeholders in the legal industry, working toward rules for the standardisation, governance, and application of blockchain and related technologies in the global legal system. Its mission is ‘enhance the security, privacy, productivity, and interoperability of the legal technology ecosystem’.”

– More from Artificial Lawyer about Blockchain hereEY + Microsoft Enter the Blockchain IP + Royalties Sector. “Big Four firm EY and Microsoft have launched a blockchain solution for content rights and royalties management, joining a growing group of legal tech start-ups – which are operating at a much smaller scale – that have also developed similar blockchain-based IP solutions.”

 

  • Also from Artificial Lawyer: Global AI Governance Group: ‘AI Decisions Must Track Back to Someone’. “A newly launched AI Global Governance commission (AIGG), tasked with forming links with politicians and governments around the world to help develop and harmonise rules on the use of AI, has suggested that at least one key regulation should be that any decisions made by an AI system ‘must be tracked back to a person or an organisation’.”

This Artificial Lawyer interview with Kira’s Noah Waisberg is more than just an overview of Kira’s rapid growth; it has good insights into doc review generally.

 

  • Here’s a somewhat entertaining look at how law firms are engaging AI vendors. Buying AI for Law Firms: Like a Trip to the Auto Show.

 

  • From Lowndes, Drosdick, Doster, Kantor & Reed, P.A. via JDSupraShould Law Firms Embrace Artificial Intelligence and R&D Labs? “Change is difficult, especially in the legal market. Yet a firm’s willingness to think differently reflects its ability to adapt, to ensure sustainability for itself, and to help solve that industrywide puzzle.”

 

  • This article from the NYT (Is There a Smarter Path to Artificial Intelligence? Some Experts Hope So) may sound negative as to Machine Learning being over-hyped, but it positively presents other types of AI. It’s a good read.

 

  • Also somewhat negative is this post from MIT about the AI threat: “AI programs capable of perceiving the real world, interacting with it, and learning about it might eventually become far better at reasoning and even communicating. ‘If you solve manipulation in its fullest,’ Abbeel says, ‘you’ll probably have built something that’s pretty close to full, human-level intelligence’.”