It appears that when machine learning is used to reconstruct MRI images, albeit at a faster pace and with less imaging data acquisition than …

We previously discussed which portions of an artificial intelligence/machine-learning ("AI/ML") platform can be patented.

This website uses cookies to improve user experience, track anonymous site usage, store authorization tokens and permit sharing on social media networks. By continuing to browse this website you accept the use of cookies. Click here to read more about how we use cookies.

Innovation in compliance can come in many forms. One such form was described by Vincent M. Walden, Managing Director at Alvarez and Marsal Holdings, LLC (A&M), in his article entitled "Profit & Loss-of-One"(P&L-of-One). In it, Walden detailed how he and his then colleagues at Ernest & Young (EY) worked in conjunction with the General Electric (GE) compliance function to "improve compliance by using forensic data analytics to provide behavioral insights to their compliance program." They did this through the innovative use of "digital twins" which Walden described as "digital replicas of physical assets that organizations can use for multiple purposes such as the maintenance of power generation equipment, jet engines and heavy machinery." In a more expansive definition, the consulting firm Gartner, Inc. described "digital twins" as dynamic software models of physical things or systems.

On December 10, 2019, Phillip Goter and Joseph Herriges hosted the webinar "Autonomous Vehicles: Technical Advancements and Legal Considerations." If you were not able to attend the webinar, you can find a partial summary of its contents in the Q&A below. Transportation system elements in this context include other vehicles, pedestrians, and cyclists, as well as the vehicle's environment, such as roadway infrastructure, buildings, signs, pavement markings, and weather conditions. The safe operation of an AV requires connectivity between the vehicle and other elements of the transportation system. AVs are enabled by artificial intelligence systems and connectivity.

The White Paper on Artificial Intelligence (the "AI White Paper"), recently released by the European Commission, provides the clearest indication yet that the EU is seriously considering regulating the development and deployment of artificial intelligence ("AI"). If adopted, the Commission's proposals would likely increase the already significant compliance burden imposed on technology-focused and technology-dependent businesses operating in the EU, and may lead to significantly divergent practices between the EU and the rest of the world. It is evident from the text of the AI White Paper that the Commission considers that its proposals would help to establish the EU at the centre of global AI technology development and deployment, and to encourage investment in the EU in this space, although it is not entirely clear that a lack of additional regulation is currently holding the EU back. The AI White Paper charts a rough course for the potential future regulation of AI technologies in the EU. It will require much greater detail and refinement before it can realistically progress to full-blown legislation.

The digitization of business is in high gear. Although some sectors have embraced this change, others, including the insurance industry, have been slower to implement advances. While we've previously addressed insurance coverage for artificial intelligence (AI) risks, the risk-averse culture of the insurance industry has been particularly resistant to change in its own business. However, as the buzz and perceived benefit around digitization, advanced analytics, machine learning and, specifically, AI continues to grow, many insurers are starting to take notice. Willis Tower Watson found that $728 million was invested into "insure tech" companies in the first quarter of 2018 across 66 transactions. Insure tech is generally regarded to include the emergence of new technologies that are transforming the insurance industry, including the technology that lies behind the creation, distribution and administration of insurance business.

As companies increasingly look to artificial intelligence ("AI") solutions to streamline their business practices, a new area has popped up: the use of artificial intelligence in analyzing videos of job interview applicants. For companies with tremendous volumes of job applicants, AI can be helpful in sorting through the applicant pool to narrow down the applicants who companies may want to bring in for in-person interviews or hire. As with most things technology, the laws are struggling to keep up with the rapid pace of innovation. However, Illinois continues to lead the nation in increasingly regulating the use of advancing technology. Though riddled with undefined terms and ambiguities, the Illinois Artificial Intelligence Video Interview Act (the "Act")--effective January 1, 2020--requires businesses who utilize AI to evaluate job applicants' video interviews to provide notice and obtain prior consent before doing so, and includes restrictions on video sharing and retention.

The Fair Housing Act ("FHA"), enacted more than fifty years ago, prohibits discriminatory practices in housing. The FHA makes it illegal to "make unavailable or deny . . . In many jurisdictions, it is also illegal to discriminate on the basis of income (e.g. But recent technological advancements have raised new questions about the statute's reach--both in terms of which entities may be liable for violating the FHA and what new technologies may run afoul of the statute's prohibitions. For example, companies that use, facilitate, or support digital advertising need to be particularly cognizant of the FHA's purview.

In the popular Netflix series Ozark, money launderer Marty Byrde expends a lot of time and energy mitigating the risks that relate to his work, including his drug cartel client, a pair of farmers, the local pastor, and his own employee and her relatives--but financial regulators never appear to be a blip on his radar. Would the series turn out differently if Marty's bank had used artificial intelligence to examine his deposits? The feds may be hoping for a plot twist. Recently, several federal agencies jointly encouraged banks to consider developing new technologies, particularly AI technologies, in order to help protect the financial system against money laundering and terrorist financing. Banks are now encouraged to "consider, evaluate, and, where appropriate, responsibly implement innovative approaches to meet their Bank Secrecy Act/Anti-Money Laundering compliance obligations" by agencies including the Board of Governors of the Federal Reserve System, the Federal Deposit Insurance Corporation, the Financial Crimes Enforcement Network (FinCEN), the National Credit Union Administration, and the Office of the Comptroller of the Currency.