Tag: Technology

Reflections on 2019 in Technology Law, and a Peek into 2020

It is that time of year when we look back to see what tech-law issues took up most of our time this year and look ahead to see what the emerging issues are for 2020.

Data: The Issues of the Year

Data presented a wide variety of challenging legal issues in 2019. Data is solidly entrenched as a key asset in our economy, and as a result, the issues around it demanded a significant level of attention.

  • Clearly, privacy and data security-related data issues were dominant in 2019. The GDPR, CCPA and other privacy regulations garnered much consideration and resources, and with GDPR enforcement ongoing and CCPA enforcement right around the corner, the coming year will be an important one to watch. As data generation and collection technologies continued to evolve, privacy issues evolved as well.  In 2019, we saw many novel issues involving mobile, biometric and connected car  Facial recognition technology generated a fair amount of litigation, and presented concerns regarding the possibility of intrusive governmental surveillance (prompting some municipalities, such as San Francisco, to ban its use by government agencies).

  • Because data has proven to be so valuable, innovators continue to develop new and sometimes controversial technological approaches to collecting data. The legal issues abound.  For example, in the past year, we have been advising on the implications of an ongoing dispute between the City Attorney of Los Angeles and an app operator over geolocation data collection, as well as a settlement between the FTC and a personal email management service over access to “e-receipt” data.  We have entertained multiple questions from clients about the unsettled legal terrain surrounding web scraping and have been closely following developments in this area, including the blockbuster hiQ Ninth Circuit ruling from earlier this year. As usual, the pace of technological innovation has outpaced the ability for the law to keep up.

  • Data security is now regularly a boardroom and courtroom issue, with data breaches, phishing, ransomware attacks and identity theft (and cyberinsurance) the norm. Meanwhile, consumers are experiencing deeper and deeper “breach fatigue” with every breach notice they receive. While the U.S. government has not yet been able to put into place general national data security legislation, states and certain regulators are acting to compel data collectors to take reasonable measures to protect consumer information (e.g., New York’s newly-enacted SHIELD Act) and IoT device manufacturers to equip connected devices with certain security features appropriate to the nature and function of the devices secure (e.g., California’s IoT security law, which becomes effective January 1, 2020). Class actions over data breaches and security lapses are filed regularly, with mixed results.

  • Many organizations have focused on the opportunistic issues associated with new and emerging sources of data. They seek to use “big data” – either sourced externally or generated internally – to advance their operations.  They are focused on understanding the sources of the data and their lawful rights to use such data.  They are examining new revenue opportunities offered by the data, including the expansion of existing lines, the identification of customer trends or the creation of new businesses (including licensing anonymized data to others).

  • Moreover, data was a key asset in many corporate transactions in 2019. Across the board in M&A, private equity, capital markets, finance and some real estate transactions, data was the subject of key deal points, sometimes intensive diligence, and often difficult negotiations. Consumer data has even become a national security issue, as the Committee on Foreign Investment in the United States (CFIUS), expanded under a 2018 law, began to scrutinize more and more technology deals involving foreign investment, including those involving sensitive personal data.

I am not going out on a limb in saying that 2020 and beyond promise many interesting developments in “big data,” privacy and data security.

Social Media under Fire

Social media platforms experienced an interesting year. The power of the medium came into even clearer focus, and not necessarily in the most flattering light. In addition to privacy issues, fake news, hate speech, bullying, political interference, revenge porn, defamation and other problems came to light. Executives of the major platforms have been on the hot seat in Washington, and there is clearly bipartisan unease with the influence of social media in our society.  Many believe that the status quo cannot continue. Social media platforms are working to build self-regulatory systems to address these thorny issues, but the work continues.  Still, amidst the bluster and criticism, it remains to be seen whether the calls to “break up” the big tech companies will come to pass or whether Congress’s ongoing debate of comprehensive data privacy reform will lead to legislation that would alter the basic practices of the major technology platforms (and in turn, many of the data collection and sharing done by today’s businesses).  We have been working with clients, advising them of their rights and obligations as platforms, as contributors to platforms, and in a number of other ways in which they may have a connection to such platforms or the content or advertising appearing on such platforms.

What does 2020 hold? Will Washington’s withering criticism of the tech world translate into any tangible legislation or regulatory efforts?  Will Section 230 of the Communications Decency Act – the law that underpins user generated content on social media and generally the availability of user generated content on the internet and apps – be curtailed? Will platforms be asked to accept more responsibility for third party content appearing on their services?

While these issues are playing out in the context of the largest social media platforms, any legislative solutions to these problems could in fact extend to others that do not have the same level of compliance resources available. Unless a legislative solution includes some type of “size of person” test or room to adapt technical safeguards to the nature and scope of a business’s activities or sensitivity of the personal information collected, smaller providers could be shouldered with a difficult and potentially expensive compliance burden. Thus, it remains to see how the focus on social media and any attempt to solve the issues it presents may affect online communications more generally.

Quantum Leaps

Following the momentum of the passage of the National Quantum Initiative at the close of 2018, a significant level of resources has been invested into quantum computing in 2019.  This bubble of activity culminated in Google announcing a major milestone in quantum computing.  Interestingly, IBM suggests that it wasn’t quite as significant as Google claimed.  In any case, the development of quantum computing in the U.S. has progressed a great deal in 2019, and many organizations will continue to focus on it as a priority in 2020.

  • Reports state that China has dedicated billions to build a Chinese national laboratory for quantum computing, among other related R&D products, a development that has gotten the attention of Congress and the Pentagon. This may be the beginning of the 21st century’s great technological race.

  • What is at stake? The implications are huge. It is expected that ultimately, quantum computers will be able to solve complex computations exponentially faster – as much as 100 million times faster — than classic computers. The opportunities this could present are staggering.  As are the risks and dangers.  For example, for all its benefits, the same technology could quickly crack the digital security that protects online banking and shopping and secure online communications.

  • Many organizations are concerned about the advent of quantum computing. But given that it will be a reality in the future, what should you be thinking about now? While not a real threat for 2020 or the near-term thereafter, it would be wise to think about it if one is anticipating investing in long-term infrastructure solutions. Will quantum computing render the investment obsolete? Or, will quantum computing present a security threat to that infrastructure?  It is not too early to think about these issues, and for example, technologists have been hard at work developing quantum-proof blockchain protocols. It would at least be prudent to understand the long-term roadmap of technology suppliers to see if they have even thought about quantum computing, and if so, to see to how they see quantum computing impacting their solutions and services.

Artificial Intelligence

We have seen significant level of deployment in the Artificial Intelligence/Machine Learning landscape this past year.  According to the Artificial Intelligence Index Report 2019, AI adoption by organizations (of at least one function or business unit) is increasing globally. Many businesses across many industries are deploying some level of AI into their businesses.  However, the same report notes that many companies employing AI solutions might not be taking steps to mitigate the risks from AI, beyond cybersecurity. We have advised clients on those risks, and in certain cases have been able to apportion exposure amongst multiple parties involved in the implementation.  In addition, we have also seen the beginning of regulation in AI, such as California’s chatbot law, New York’s recent passage of a law (S.2302) prohibiting consumer reporting agencies and lenders from using the credit scores of people in a consumer’s social network to determine that individual’s credit worthiness, or the efforts of a number of regulators to regulate the use of AI in hiring decisions.

We expect 2020 to be a year of increased adoption of AI, coupled with an increasing sense of apprehension about the technology. There is a growing concern that AI and related technologies will continue to be “weaponized” in the coming year, as the public and the government express concern over “deepfakes” (including the use of voice deepfakes of CEOs to commit fraud).  And, of course, the warnings of people like Elon Musk and Bill Gates, as they discuss AI, cannot be ignored.

Blockchain

We have been very busy in 2019 helping clients learn about blockchain technologies, including issues related to smart contracts and cryptocurrency. 2019 was largely characterized by pilots, trials,  tests and other limited applications of blockchain in enterprise and infrastructure applications as well as a significant level of activity in tokenization of assets, cryptocurrency investments, and the building of businesses related to the trading and custody of digital assets. Our blog, www.blockchainandthelaw.io keeps readers abreast of key new developments and we hope our readers have found our published articles on blockchain and smart contracts helpful.

Looking ahead to 2020, regulators such as the SEC, FinCEN, IRS and CFTC are still watching the cryptocurrency space closely. Gone are the days of ill-fated “initial coin offerings” and today, security token offerings, made in compliance with the securities laws, are increasingly common. Regulators are beginning to be more receptive to cryptocurrency, as exemplified by the New York State Department of Financial Services revisiting of the oft-maligned “bitlicense” requirement in New York.

Beyond virtual currency, I believe some of the most exciting developments of blockchain solutions in 2020 will be in supply chain management and other infrastructure uses of blockchain. 2019 was characterized by experimentation and trial. We have seen many successes and some slower starts. In 2020, we expect to see an increase in adoption. Of course, the challenge for businesses is to really understand whether blockchain is an appropriate solution for the particular need. Contrary to some of the hype out there, blockchain is not the right fit for every technology need, and there are many circumstances where a traditional client-server model is the preferred approach. For help in evaluating whether blockchain is in fact a potential fit for a technology need, this article may be helpful.

Other 2020 Developments

Interestingly, one of the companies that has served as a form of leading indicator in the adoption of emerging technologies is Walmart.  Walmart was one of the first major companies to embrace supply use of blockchain, so what is Walmart looking at for 2020? A recent Wall Street Journal article discusses its interest and investment in 5G communications and edge computing. We too have been assisting clients in those areas, and expect them to be active areas of activity in 2020.

Edge computing, which is related to “fog” computing, which is, in turn,  related to cloud computing, is simply put, the idea of storing and processing information at the point of capture, rather than communicating that information to the cloud or a central data processing location for storage and processing. According to the WSJ article, Walmart plans on building edge computing capability for other businesses to hire (following to some degree Amazon’s model for AWS).  The article also talks about Walmart’s interest in 5G technology, which would work hand-in-hand with its edge computing network.

Our experience with clients suggest that Walmart may be onto something.  Edge and fog computing, 5G and the growth of the “Internet of Things” are converging and will offer the ability for businesses to be faster, cheaper and more profitable. Of course this convergence also will tie back to the issues we discussed earlier, such as data, privacy and data security, artificial intelligence and machine learning. In general, this convergence will increase even more the technical abilities to process and use data (which would conceivably require regulation that would feature privacy and data security protections that are consumer-friendly, yet balanced so they do not stifle the economic and technological benefits of 5G).

This past year has presented a host of fascinating technology-based legal issues, and 2020 promises to hold more of the same.  We will continue to keep you posted!

We hope you had a good 2019, and we want to wish all of our readers a very happy and safe holiday season and a great New Year!

© 2019 Proskauer Rose LLP.

For more in technology developments, see the National Law Review Intellectual Property or Communications, Media & Internet law sections.

AI and Evidence: Let’s Start to Worry

When researchers at University of Washington pulled together a clip of a faked speech by President Obama using video segments of the President’s earlier speeches run through artificial intelligence, we watched with a queasy feeling. The combination wasn’t perfect – we could still see some seams and stitches showing – but it was good enough to paint a vision of the future. Soon we would not be able to trust our own eyes and ears.

Now the researchers at University of Washington (who clearly seem intent on ruining our society) have developed the next level of AI visual wizardry – fake people good enough to fool real people. As reported recently in Wired Magazine, the professors embarked on a Turing beauty contest, generating thousands of virtual faces that look like they are alive today, but aren’t.

Using some of the same tech that makes deepfake videos, the Husky professors ran a game for their research subjects called Which Face is Real? In it, subjects were shown a real face and a faked face and asked to choose which was real. “On average, players could identify the reals nearly 60 percent of the time on their first try. The bad news: Even with practice, their performance peaked at around 75 percent accuracy.” Wired observes that the tech will only get better at fooling people “and so will chatbot software that can put false words into fake mouths.”

We should be concerned. As with all digital technologies (and maybe most tech of all types if you look at it a certain way) the first industrial applications we have seen occur in the sex industry. The sex industry has lax rules (if they exist at all) and the basest instincts of humanity find enough participants to make a new tech financially viable. Reported by the BBC, “96% of these videos are of female celebrities having their likenesses swapped into sexually explicit videos – without their knowledge or consent.”

Of course, given the level of mendacity that populism drags in its fetid wake, we should expect to see examples of deepfakes offered on television news soon as additional support of the “alternate facts” ginned up by politicians, or generated to smear an otherwise blameless accuser of (faked) horrible behavior.  It is hard to believe that certain corners of the press would be able to resist showing the AI created video.

But, as lawyers, we have an equally valid concern about how this phenomenon plays in court. Clearly, we have rules to authenticate evidence.  New Evidence Rule 902(13) allows authentication of records “generated by an electronic process or system that produces an accurate result” if “shown by the certification of a qualified person” in a particular way. But with the testimony of someone who was wrong, fooled or simply lying about the provenance of an AI generated video, the false digital file can be easily introduced as evidence.

Some Courts under the silent witness theory have allowed a video to speak for itself. Either way, courts will need to tighten up authentication rules in the coming days of cheap and easy deepfakes being present everywhere. As every litigator knows, no matter what a judge tells a jury, once a video is seen and heard, its effects can dominate a juror’s mind.

I imagine that a new field of video veracity expertise will arise, as one side tries to prove its opponent’s evidence was a deepfake, and the opponent works to establish its evidence as “straight video.” One of the problems in this space is not just that deepfakes will slip their way into court, damning the innocent and exonerating the guilty, but that the simple existence of deepfakes allows unscrupulous (or zealously protective) lawyers to cast doubt on real, honest, naturally created video. A significant part of that new field of video veracity experts will be employed to cast shade on real evidence – “We know that deepfakes are easy to make and this is clearly one of them.” While real direct video that goes to the heart of a matter is often conclusive in establishing a crime, it can be successfully challenged, even when its message is true.  Ask John DeLorean.

So I now place a call to the legal technology community.  As the software to make deepfakes continues to improve, please help us develop parallel technology to be able to identify them. Lawyers and litigants need to be able to clearly authenticate genuine video evidence to clearly strike deepfaked video as such.  I am certain that somewhere in Langley, Fort Meade, Tel Aviv, Moscow and/or Shanghai both of these technologies are already mastered and being used, but we in the non-intelligence world may not know about them for a decade. We need some civilian/commercial help in wrangling the truth out of this increasingly complex and frightening technology.

Copyright © 2019 Womble Bond Dickinson (US) LLP All Rights Reserved.

For more artificial intelligence, see the National Law Review Communications, Media & Internet law page.

CMS’s Request for Information Provides Additional Signal That AI Will Revolutionize Healthcare

On October 22, 2019, the Centers for Medicare and Medicaid Services (“CMS”) issued a Request for Information (“RFI”) to obtain input on how CMS can utilize Artificial Intelligence (“AI”) and other new technologies to improve its operations.  CMS’ objectives to leverage AI chiefly include identifying and preventing fraud, waste, and abuse.  The RFI specifically states CMS’ aim “to ensure proper claims payment, reduce provider burden, and overall, conduct program integrity activities in a more efficient manner.”  The RFI follows last month’s White House Summit on Artificial Intelligence in Government, where over 175 government leaders and industry experts gathered to discuss how the Federal government can adopt AI “to achieve its mission and improve services to the American people.”

Advances in AI technologies have made the possibility of automated fraud detection at exponentially greater speed and scale a reality. A 2018 study by consulting firm McKinsey & Company estimated that machine learning could help US health insurance companies reduce fraud, waste, and abuse by $20-30 billion.  Indeed, in 2018 alone, improper payments accounted for roughly $31 billion of Medicare’s net costs. CMS is now looking to AI to prevent improper payments, rather than the current “pay and chase” approach to detection.

CMS currently relies on its records system to detect fraud. Currently, humans remain the predominant detectors of fraud in the CMS system. This has resulted in inefficient detection capabilities, and these traditional fraud detection approaches have been decreasingly successful in light of the changing health care landscape.  This problem is particularly prevalent as CMS transitions to value-based payment arrangements.  In a recent blog post, CMS Administrator, Seema Verma, revealed that reliance on humans to detect fraud resulted in reviews of less than one-percent of medical records associated with items and services billed to Medicare.  This lack of scale and speed arguably allows many improper payments to go undetected.

Fortunately, AI manufacturers and developers have been leveraging AI to detect fraud for some time in various industries. For example, the financial and insurance industries already leverage AI to detect fraudulent patterns. However, leveraging AI technology involves more than simply obtaining the technology. Before AI can be used for fraud detection, the time-consuming process of amassing large quantities of high quality, interoperable data must occur. Further, AI algorithms need to be optimized through iterative human quality reviews. Finally, testing the accuracy of the trained AI is crucial before it can be relied upon in a production system.

In the RFI, CMS poses many questions to AI vendors, healthcare providers and suppliers that likely would be addressed by regulation.  Before the Federal government relies on AI to detect fraud, CMS must gain assurances that AI technologies will not return inaccurate or incorrect outputs that could negatively impact providers and patients. One key question raised involves how to assess the effectiveness of AI technology and how to measure and maintain its accuracy. The answer to this question should factor heavily into the risk calculation of CMS using AI in its fraud detection activities. Interestingly, companies seeking to automate revenue cycle management processes using AI have to grapple with the same concerns.  Without adequate compliance mechanisms in place around the development, implementation and use of AI tools for these purposes, companies could be subject to high risk of legal liability under Federal False Claims Act or similar fraud and abuse laws and regulations.

In addition to fraud detection, the RFI is seeking advice as to whether new technology could help CMS identify “potentially problematic affiliations” in terms of business ownership and registration.  Similarly, CMS is interested to gain feedback on whether AI and machine learning could speed up current expensive and time-consuming Medicare claim review processes and Medicare Advantage audits.

It is likely that this RFI is one of many signals that AI will revolutionize how healthcare is covered and paid for moving forward.  We encourage you to weigh in on this on-going debate to help shape this new world.

Comments are due to CMS by November 20, 2019.

©2019 Epstein Becker & Green, P.C. All rights reserved.

For more CMS activities, see the National Law Review Health Law & Managed Care page.

The Fairness for High-Skilled Workers Act May Endanger Economy

The Fairness for High-Skilled Workers Act has passed the House of Representatives, and is pending before the Senate where it may pass by unanimous consent (i.e., with no actual vote or hearing).

On its face, the Fairness Act seems fair. By eliminating the 7% per country cap, Indian nationals and Chinese nationals who have been waiting and would continue to wait for years to capture green cards would be placed at the front of line. But this would be at the expense of workers from other countries who are also important to the United States.

About 25% of all STEM workers in the U.S., including those in the fields of healthcare, physical science, computer, and math, are foreign-born and that figure is on the rise. One quarter of all doctors in the U.S. are foreign-born — many from sub-Saharan Africa — and are particularly important in poor, rural areas of the country where physicians are scarce. One in five pharmacists and one in four dentists are foreign-born. Other types of healthcare workers come from Asia, Mexico, Central America, and the Caribbean and our need for these workers rises as baby boomers age.

If the Fairness Act were to pass, recruiting from countries other than India and China might become more difficult, and this talent may well turn elsewhere. New Zealand, Ireland, Australia and the UK are also dependent on foreign-trained doctors.

High-tech workers from India and China are also important to the U.S. and its economy; but our current immigration system is driving them out as well. This started in 2008, when it became difficult for high-tech companies to get the number of H-1B visas they needed. That frustration has grown with the increased scrutiny of H-1B petitions and the long green card waiting lines. Indian and Chinese talent is heading for other countries, and Canada is welcoming them and their companies with open arms. South Africa, Argentina, India, Chile, Japan, Hong Kong, South Korea, Israel, Australia, and Ireland also are popular competitors.

Quotas of one kind or another have been part of the U.S. immigration system since the early part of the 20th century. Literacy requirements limited immigration from some of the poorer countries of the world. Country-of-birth quotas benefited those from the UK, Ireland, and Germany at the expense even of those born in southern and eastern Europe. The 1965 Immigration and Nationality Act (the Hart-Celler Act), which is the basis of our current system, abolished national origin quotas (to eliminate discrimination) and focused on family reunification. The 7% annual ceiling on the number of immigrants from any one country was established. The ceiling was not meant to be quota, but rather a “barrier against monopolization.”

Senator Rand Paul, who opposes the Fairness Act, introduced the BELIEVE Act (Backlog Elimination, Legal Immigration and Employment Visa Enhancement Act) (S. 2091) on July 11, 2019. That bill would simply quadruple the number of employment-based visas by doubling the number available annually and exempting dependents from being counted toward the annual quota of visas. His bill also would exempt all shortage occupations from green card limits.

The Fairness Act may be just an interim solution. Rather than pitting family-based immigration against employment-based immigration and rather than pitting one country against another or one industry against another, perhaps it is time for legislation like the BELIEVE Act that would simply increase the number of green cards available to everybody.

Jackson Lewis P.C. © 2019

For more on green card legislation, see the National Law Review Immigration law page.

Head Hacking: New Devices Gather Brainspray

For more than a decade I have been warning about the vulnerability of brainspray – the brain signals that can be captured from outside your head. In 2008, this article by Jeffery Goldberg demonstrated that an fMRI machine could easily interpret how a person felt about stimuli provided – which could be a boon to totalitarian governments testing for people’s true feelings about the government or its Dear Leader. Of course in 2008 the fMRI costs two million dollars and you must lie still inside it for a useful reading to emerge.

While fMRI mind reading and lie detection is not yet ready for the courtroom, its interpretations are improving all the time and mobile units are under consideration. And its wearable cousins, like iWatches and computerized head gear are reading changes from within your body, such as electrocardiogram, heart rate, blood pressure, respiration rate, blood oxygen saturation, blood glucose, skin perspiration, capnography, body temperature, motion evaluation, cardiac implantable devices and ambient parameters. Certain head gear is calibrated just for brain waves.

Some of this is gaming equipment and some helps you meditate.  Biofeedback headsets measure your brain waves, using EEG. They’re small bands that sit easily on your head and measure activity through sensors. Several companies like MindWave, NeuroSky, Thync, and Versus all make such equipment available to the general public.

Of course, if you really want to frighten yourself about how far this technology has advances, check in on DARPA and the rest of the US Military. DARPA has been testing brainwave filtering binoculars , human brainwave driven targeting for killer robots,  and soldier brain-machine interfaces for military vehicles. And these are just the things they are currently willing to dicuss in public.

I wrote six years ago about how big companies like Honda were exploring brainspray capture, and have spoken about how Google, Facebook and other Silicon Valley giants have sunk billions of dollars into creating brain-machine interfaces and reading brainspray for practical purposes.

I will write more on this later, but be aware that hacking of this equipment is always possible, which could give the wrong people access to your brain waves and pick up if you are thinking of your bank account PIN or other sensitive matter. Your thoughts of any sort should be protected from view.  Thought-crime has always been on the other side of the line.

Now that it is possible to read your brainspray with greater certainty, we should be considering how to regulate this activity.  I don’t mind giving the search engine my information in exchange of efficient immediate searches.  But I don’t want to open my head to companies or government.

Copyright © 2019 Womble Bond Dickinson (US) LLP All Rights Reserved.

For more in device hacking, see the Communications, Media & Internet law page on the National Law Review.

U.S. Department of Energy Withdraws Expanded General Service Lamp Definition and Refuses to Impose Backstop Efficiency Standard

On September 5, 2019, the U.S. Department of Energy (DOE) published a final rule and proposed rule regarding general service lamps and general service incandescent lamps with far-reaching implications for lamp manufacturers and retailers. DOE is withdrawing the Obama Administration’s revised definitions of general service lamps and general service incandescent lamps, which would have imposed federal efficiency standards on a wide array of lamps. DOE also asserts in the new rule that it has not triggered a statutory “backstop” efficiency standard, which would have prohibited the sale of all non-compliant lamps beginning January 1, 2020. In a separate proposed rule, DOE has initially determined that energy conservation standards for general service incandescent lamps are not justified. DOE’s decisions, which stall what was to be an accelerated transition away from incandescents and toward LEDs, will likely prompt a legal challenge by consumer and environmental groups, as well as a number of states and other interested stakeholders.

Background

As defined by Congress in the Energy Policy and Conservation Act of 1975 (EPCA), general service incandescent lamps (GSILs) are any “standard incandescent or halogen type lamp . . . intended for general service applications,” that “has a medium screw base,” that fits within statutorily defined lumen and operating voltage ranges, and that is not one of twenty-two exempted lamp types. General service lamps (GSLs), in turn, are GSILs or “any other lamps that the Secretary [of Energy] determines are used to satisfy lighting applications traditionally served by general service incandescent lamps.” With the Energy Independence and Security Act of 2007 (EISA), Congress directed DOE to initiate rulemaking procedures to determine whether efficiency standards for GSLs should be amended to be “more stringent” than those that currently apply to fluorescent lamps and incandescent reflector lamps and whether existing exemptions for “certain incandescent lamps should be maintained or discontinued.”

The EISA sought to prod DOE into moving quickly to establish GSL/GSIL efficiency standards. First, Congress provided that if DOE “determines that the standards in effect for general service incandescent lamps should be amended, the Secretary shall publish a final rule not later than” January 1, 2017. Second, Congress included a “backstop” measure: if the Secretary of Energy “fails to complete a rulemaking” as directed, “the Secretary shall prohibit the sale of any general service lamp that does not meet a minimum efficacy standard of 45 lumens per watt,” effective January 1, 2020. The 45-lumen standard is generally understood to be unachievable for many incandescents, and would, therefore, hasten an ongoing transition to LED lamps. The backstop standard is also unusual to the extent that it would apply as a prohibition on sale, while most other appliance and equipment standards enforced by DOE apply to import and manufacture, rather than sale. As a result, the backstop not only impacts lamp manufacturers, but also the retailers who market such lamps.

The Obama Administration in January 2017 promulgated final rules revising the GSL and GSIL definitions to no longer exempt five categories of specialty incandescent lamps (rough service lamps, shatter-resistant lamps, 3-way incandescent lamps, high lumen incandescent lamps, and vibration service lamps), incandescent reflector lamps, or a variety of decorative lamps (T-Shape, B, BA, CA, F, G16-1/2, G25, G30, S, M-14, and candelabra base lamps). Effective January 1, 2020, these lamp categories would be subject to the relevant efficiency standards. The Obama Administration, however, did not initiate rulemaking with regard to the efficiency standards themselves because an appropriations rider prevented it from doing so.

The Trump Administration’s recent move withdraws these revised definitions to maintain the current efficiency regulatory scheme. Without deciding whether or not to amend the efficiency standards themselves, DOE’s new rule prevents those standards from applying to the specialty, decorative, and reflector lamps identified under the earlier rule. Some commenters argue that the new rule violates the EPCA’s “anti-backsliding” provision, while DOE asserts that the provision applies only to efficiency standards and not to the categories to which those standards apply.

Regulatory Uncertainty Regarding “Backstop” Standards

With the new rule, DOE concludes that the backstop will not take effect on January 1 and so will not prohibit the sale of GSLs not meeting the 45 lumens per watt standard. DOE agreed with electrical and lighting trade associations and manufacturers that the backstop would only be triggered if DOE had actually determined to maintain, amend, or eliminate GSL and GSIL efficiency standards but failed to do so, whereas to date, DOE had determined only to maintain the currently effective list of exemptions from the GSL and GSIL definitions. Additionally, DOE states that the backstop is not self-executing but rather requires the Secretary to take action to prohibit the sale of less efficient lamps. DOE asserts that this interpretation of the backstop provision prevents the Secretary of Energy from having to enforce a more stringent efficiency standard that he has not yet determined to be necessary or unnecessary.

A variety of environmental commenters, utility companies, and state attorneys general disagree with DOE’s reading and argue that, without further action, the backstop provision will indeed be triggered on January 1, 2020, because DOE has “fail[ed] to complete” the congressionally directed rulemaking to determine the need for amended efficiency standards. These commenters argue that the backstop is self-executing and requires no further DOE action to go into effect.

Preemption

In recent years, states have begun to enact their own lamp efficiency standards in line with the Obama Administration’s proposal and Congress’ “backstop” standard, in part out of concern that DOE might seek to delay or reverse the federal standard. More states are likely to do so in light of DOE’s latest move, creating the possibility that lamp manufacturers, importers, and retailers will have to navigate a patchwork of state regulations. Such state regulations will likely be subject to litigation, as DOE asserts that even though it has not yet promulgated an efficiency standard, state standards for covered products are preempted.

Next Steps

DOE’s withdrawal of the revised GSL/GSIL definitions or its interpretation of the backstop provision has not yet prompted a legal challenge. Some environmental advocates, however, have raised the possibility of bringing suit to force implementation of the lamp efficiency standards.

 

© 2019 Beveridge & Diamond PC

ARTICLE BY Daniel A. Eisenberg and Jack Zietman of Beveridge & Diamond PC.

Who Benefits from Self-Driving Cars?

Everyone will benefit from self-driving cars, but to varying degrees. Society, from a safety standpoint, benefits from eliminating some or all of the 34,247 motor vehicle fatalities per year. The elderly and disabled can benefit by regaining independence. Commuters can benefit by turning their dreaded drive to work into a relaxing or productive session they look forward to. But what about car manufacturers?

Car manufacturers may potentially benefit the most from self-driving cars. Assuming that they develop safe, fully autonomous robotaxis, then a car manufacturer may be able to operate the car as a robotaxi and potentially generate ten times the sale price of a vehicle over the life of the vehicle. But before this can happen, a company has to produce a fully self-driving vehicle at a reasonable cost. From a hardware standpoint, a key challenge is sensor technology. Lidar, a critical sensor for autonomous cars that can bridge the deficiencies in today’s camera and radar systems, is a significant hurdle due to its cost (e.g., up to $75,000), size, and complexity.

Therefore, it comes as no surprise that lidar companies are benefiting from large investments and partnerships this year to develop advanced lidar solutions. For example, Sense Photonics recently emerged from stealth mode and made headlines with a $26 million round advertising a whole new approach that allows for an ultra-wide field of view and flexible installation. Sense Photonics claims they have a “flash” lidar which can illuminate the entire scene with one giant flash, as opposed to the scanning or sweeping systems employed by the early popular lidars systems, such as those from Velodyne. Luminar recently announced they developed a new LIDAR sensor that weighs less than 2 pounds, is the size of a soda can, and will cost as little as $500. Another upstart, Lumotive, announced that it has a solid-state sensor with metamaterial (e.g., a non-naturally occurring material that can have a negative refractive index) that includes tiny tunable components that can slow down parts of the laser beam in order to steer the beam. Steering a laser beam in this manner, according to Lumotive, may eliminate the need for mechanically moving parts. Yet another lidar company, Quanergy, touts that they have a fully solid-state automotive grade lidar based on optical phased arrays that do not include any moving parts on any scale, while offering an unparalleled level of quality and reliability.

While the timeline is uncertain, it is likely that self-driving cars will be safer than human drivers, and that auto manufacturers and technology suppliers will find opportunities to increase profits. However, this will likely bring about certain disadvantageous. Some disadvantages are obvious, such as the loss of transportation-related jobs due to automation, but there may be other less obvious disadvantages. If a car manufacturer can make more money by keeping their car, why would they sell it to consumers? Elon Musk thinks that is the case, and part of his “Master Plan” is to enable self-driving hardware to operate as autonomous robotaxis to generate revenue for Tesla itself. While autonomous robotaxis may have many benefits, the inability to buy a reasonably priced car because it is more profitable in the hands of the car manufacturer does not benefit the car shopper!

© 2019 Foley & Lardner LLP

More more on self-driving cars, see the Utilities & Transport law page on the National Law Review.

Emerging Technologies Update

Our present era is one characterized by rapid technological change, marked by an influx of advancements aimed at enhancing productivity, reducing labor costs, and providing companies with previously unforeseen efficiencies and insights. These emerging technologies—a broad collection of hardware and software that includes artificial intelligence (AI), autonomous vehicles (AVs), biotechnology, robotics, and unmanned aerial systems (drones)—are being incorporated into everyday operations by seemingly every industry and sector.

A number of emerging technologies are finding particular value in the energy, natural resources, and transportation spaces.  A brief survey of these sectors reveals that companies are incorporating emerging technologies in a number of novel ways, including:

  • Use of drones to detect leaks along pipelines and to survey the structural integrity of offshore rigs;
  • Integration of machine learning-empowered connected devices by electric, gas, and water utilities to better serve communities by identifying ways to be more efficient with respect to how resources are managed;
  • Application of predictive analytics for refinery/gas plant optimization to mitigate un-programmed plant shutdowns, improve yields, and enhance safety awareness;
  • Incorporation of machine learning and computer vision into AV systems which have the capability to significantly improve road safety, reduce traffic fatalities, and improve vehicle efficiency;
  • Adoption of machine learning and data analytics by oil and gas companies into planning processes for drilling by hydraulic fracturing; and
  • Utilization of autonomous delivery systems—including aerial and sidewalk drones—in an effort to significantly reduce the cost of deliveries and environmental impacts over the “last mile.”

While these and other technologies show great promise, they also create a host of new challenges for governments, companies, and individuals.  In particular, emerging technologies could usher in an era of massive disruption that dramatically alters and upsets traditional notions of consumer safety and privacy, national security, job security, and environmental quality.  Federal and state regulators and legislators are already starting to tackle the challenges arising from emerging technologies—with mixed results. These actions risk generating unintended consequences that could stifle innovation and/or forestall the incorporation of emerging technologies into various industry operations.

This inaugural VNF Emerging Technology Update is intended to identify recent executive and legislative branch developments in the emerging technology space that may impact the deployment of these technologies, which in turn could impact client operations. If you have a question about these or any other developments in the emerging technology space, please contact the authors of this alert.

Recent Emerging Tech Developments

DOT Announces New Measures to Facilitate Drone Deployment

On January 14, 2019, Secretary of Transportation, Elaine Chao, announced several significant regulatory developments that should—in time—provide drone companies and operators with more operational flexibility.

First, Secretary Chao announced that the Federal Aviation Administration (FAA) had unveiled a proposed rule entitled, “Operation of Small Unmanned Aircraft Systems over People.” Among other things, the proposed rule would allow a small drone to “pass[] over any part of any person who is not directly participating in the operation and who is not located under a covered structure or inside a stationary vehicle”—provided that the drone meets certain operational constraints related to drone weight, design, and risk of injury to people.  The proposed rule would also permit drones to operate at night provided that (i) the drone is equipped with an anti-collision light that is visible for at least three statute miles, and (ii) the operator has completed relevant knowledge training and testing.

While the proposed rule is a good first step in facilitating further innovation in small drone use cases, it is unlikely that the rule would have any immediate impact because it is contingent on the FAA implementing remote identification and tracking regulations, which the FAA is expected to promulgate in proposed form later this year.  Moreover, remote ID and tracking rules are necessary to stymie nefarious and nuisance operations that could target critical systems and infrastructure, including events similar to those that occurred at London’s Gatwick and Heathrow airports late in 2018 and early in 2019, and at Newark International Airport on January 22, 2019. Thus, while the proposed rule is a welcome step toward facilitating drone innovation, regulators still have a lot of work to do before companies (and consumers) realize the potential benefits of commercial drones.

In addition to the proposed rule, the FAA also announced an advanced notice of proposed rulemaking (ANPR) seeking comments on the “Safe and Secure Operations of Small Unmanned Aircraft Systems.” The ANPR recognizes the potential national security threat that drones pose to critical infrastructure, acknowledging that it is continually assessing the ability of the Part 107 regulations to address these concerns.  In addition, the ANPR notes that the FAA is working to develop a process to allow certain fixed-site facility owners to petition the agency to prohibit or restrict drone operations in close proximity to, e.g., critical infrastructure sites. The ANPR further recognizes public safety and national security concerns arising from loss of control of a drone. The agency seeks comment on the need to promulgate regulations establishing design requirements (such as redundancy) for systems critical to flight safety.

It is important to note that the current government shutdown has impacted the publication of these regulatory actions in the Federal Register. Therefore, the FAA is not yet accepting public comment on these actions. The FAA has not indicated when it will publish these actions in the Federal Register, but simply says both will be published “at a later date.”

FCC Proposed Rule on Unlicensed Use of 6 GHz Band

On December 17, 2018, the Federal Communications Commission (FCC) published a proposed rule to expand unlicensed use of the 5.925-7.125 GHz band (6 GHz band). Specifically, the FCC would allow unlicensed access points to operate on the 5.925-6.425 GHz and 6.525-6.875 GHz sub-bands only on frequencies determined by an automated frequency control (AFC) system. For the 6.425-6.525 GHz and 6.875-7.125 GHz sub-bands, the FCC would not mandate an AFC system and would permit unlicensed access points to operate at lower transmitted power.

The FCC’s press release on the proposed rule notes that “[u]nlicensed devices that employ Wi-Fi and other unlicensed standards have become indispensable for providing low-cost wireless connectivity in countless products used by American consumers.” The proposed rule represents one element of the FCC’s broader objective to facilitate and ensure that adequate spectrum exists to accommodate the proliferation of connected devices in the internet of things (IoT).

While the FCC asserted its commitment to “protecting the incumbent licensed services that operate in this spectrum,” the FCC’s proposed action does raise the possibility of conflict with electric, gas, and water utilities and other critical infrastructure systems, which have long relied on the 6 GHz band for their communications networks. Some worry that the FCC’s action could unleash a flood of new unlicensed users on the spectrum, which could create radio frequency interference that compromises both reliability and emergency response capabilities.

Comments on the proposed rule are due by February 15, 2019.

BIS Contemplating Export Controls for Certain Emerging Technologies

On November 19, 2018, the Bureau of Industry and Security (BIS)—an agency within the Department of Commerce—published an ANPR seeking public comment on criteria for identifying emerging technologies that are essential to U.S. national security. The BIS ANPR comes at a time of heightened scrutiny over global technology transfers. The past year alone has been dominated by headlines of (i) potential national security concerns related to the import of Chinese telecommunications technologies; (ii) potential supply chain attacks on U.S. technology manufacturers; and (iii) escalating trade tensions between the United States and China precipitated at least in part by U.S. objections over Chinese theft of intellectual property.

It is this third risk that BIS’s ANPR is attempting to redress. With the help of public comments received over the course their comment period (which closed on January 10, 2019) BIS will evaluate potential national security risks that may arise from the export of emerging technologies.  The agency has indicated that it will likely promulgate a proposed rule to amend the Commerce Control List (CCL) to include new Export Control Classification Numbers (ECCNs) for certain emerging technologies.

While there is certainly a need to address the economic, national security, and political implications of technology transfers—and the deleterious impacts of industrial espionage—some of the most prominent technology companies and technology industry advocacy groups argue that BIS’s action will do little to mitigate potential national security risks and may actually do more to harm U.S. emerging technology companies, because any prohibition on technology exports will apply to companies operating within the United States. Consequently, sophisticated external actors will still be able to engage in industrial espionage, thereby extracting potentially sensitive technologies outside of officially-sanctioned processes, allowing certain emerging technologies to end up in jurisdictions outside of the United States or its allies without U.S. companies being able to control the dissemination of those technologies.

Given the potential negative impacts of BIS’s contemplated regulatory action—as well as the fact that BIS issued the ANPR immediately before the year-end holiday season—many companies petitioned the agency for an extension of the original 30-day comment period. While BIS did extend the comment period an additional three weeks, the compressed comment period undoubtedly prevented some companies and individuals from offering more detailed insights.  Given the potential economic and security impacts of the ANPR, companies may wish to engage with the Office of Information and Regulatory Affairs (OIRA) within the Office of Management and Budget (OMB) as an alternative or parallel strategy to ensure that the Administration is aware and understands the potential implications on U.S. companies.

Senators Warner and Rubio Introduce Bill to Establish the Office of Critical Technologies and Security

On January 4, 2019, Senators Mark Warner (D-VA) and Marco Rubio (R-FL) introduced S.29, which would establish an “Office of Critical Technologies and Security” within the White House. Recognizing threat of industrial espionage, forced technology transfers, and supply chain vulnerabilities, the bipartisan bill is intended to ensure that technology transfer decisions occur within a broader policy context—a “whole of government technology strategy”—that weighs relevant economic, geopolitical and national security concerns in a way different from the existing BIS regulatory process.

As of January 22, the Senate has taken no further action on the bill.

 

© 2019 Van Ness Feldman LLP
This post was written by R. Scott Nuzum and Eric C. Wagner of Van Ness Feldman LLP.

Battery Companies Drive Innovation in Energy Efficiency Storage Technology

A hot new area for the development of energy efficiency storage technology is refrigeration. Last month, this blog covered the recent success of Mintz Levin client Axiom Exergy. Axiom’s focus on lowering the costs of refrigeration through their Refrigeration Battery has caught the attention of major investors such as Shell Investors, and has led to deals with major chains, including Wal-Mart and Whole Foods. The battery, which is described in more detail in the June 12th post, generates and stores excess refrigeration by freezing tanks of salt water during off-peak hours and releasing the refrigeration during peak hours to avoid high peak energy costs. The Refrigeration Battery is especially useful for supermarkets, which dedicate nearly 60% of their energy consumption towards refrigeration, and can help reduce peak energy consumption by up to 40%.

Of course, energy efficiency storage technology holds promise for more than just supermarkets. Ice Energy’s Ice Bear battery creates and stores ice during off-peak hours. It can then use that stored ice during peak hours to cool the building in which it is installed. The battery, which makes air conditioning more efficient in commercial, industrial, and residential buildings, has received significant attention in the efficient energy storage space. In fact, the Southern California Power Public Authority (SCPPA) announced its plan to purchase up to 100 Ice Bear battery units. As a result, Ice Energy could add nearly one Megawatt of energy for residential cooling systems back into the SCPPA network.

In the opposite direction of water-based technologies, lie companies like Ambri and VionX. Ambri uses liquid metals in its batteries, which can each supply one day’s worth of electricity to 30 average Massachusetts homes. The current passing between the electrodes during the charge-discharge cycle generates enough heat to keep the battery at temperature. Because the battery operates at an elevated temperature, which is maintained through the normal cycle of the battery, the battery does not require a cooling system, resulting in low-cost and efficient storage technology. VionX, another Mintz Levin client, developed a Vanadium Redox Flow Battery. Their battery does not suffer from degradation through the charge-discharge cycle like traditional lithium ion batteries do. This unique design allows the battery to run through its cycle indefinitely. As a result, VionX batteries increase their storage efficiency over the course of their life cycle, and they pass this benefit on to clients in the form of reliability and cost effectiveness.

This explosion in innovation demonstrates the potential for energy efficiency storage technology to expand into different areas. One opportunity for such expansion is the electric grid. Advances in battery technology have the potential to significantly impact the grid’s storage capacity. Scaling energy efficiency storage technology to meet the demands of the United States’ electric grid would pave the way for connecting more clean energy sources to the grid. Efficient batteries with high storage capacities allow energy from clean sources–which often fluctuate seasonally and hourly in level of output–to be stored during times of high output. This increased storage capacity would provide the missing link between clean energy sources and energy output from the grid. The energy stored from clean energy sources during peak hours of energy output would be able to provide those connected to the grid with constant energy during times of low-production with advances in efficient storage technology.

Investors have taken notice of these opportunities for innovation. Ambri has secured a combined $50 million from Bill Gates and other investors, while VionX recently raised $26 million in financing to add to the $79 million in venture capital financing that it had already raised. Ice Energy entered into a long-term agreement in June 2018 for $40 million in funding after securing series C funding in 2010. Mercom Capital Group found that venture capital funding for battery storage, smart grid, and efficiency companies was 12 percent higher in the first half of 2018 than in the first half of 2017, rising from $480 million to $539 million. The recent increase in innovation and investment may indicate that there are new opportunities in store for efficient storage technologies and cleantech as a whole.

 

©1994-2018 Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C. All Rights Reserved.

R2-Me2? How Should Employers Respond to Job Loss Caused by Robots?

There is no question that the use of robots, along with other similar technological changes in the workplace, will continue to eliminate or downgrade jobs. Indeed, it has been estimated that on average, each workplace robot eliminates six jobs. This article will examine (1) the impact such changes will have on women and (2) whether these changes can be subject to legal challenge as prohibited gender discrimination.

The gender pay gap has become a much debated and controversial topic, but this article will stay out of the fray. However, data produced by the consultancy firm Korn Ferry has concluded that women in Britain make just one percent less than men who have the same function and level at the same employer.  Therefore, some have suggested that the main problem today is not necessarily unequal pay for equal work, but rather the forces and circumstances that lead women to be forced into and stuck in lower-paid jobs at lower-paying organizations. According to The Economist, this is the true gender “pay gap,” which is a much more difficult problem to solve.

Current research suggests that, unless addressed, this gender “pay gap” will increase rather than decrease. Last month, a report to the World Economic Forum in Davos, Switzerland, predicted that “artificial intelligence, robotics and other digital developments,” and the consequent job disruption, are likely to widen rather than diminish the gender pay gap. See “Towards a Reskilling Revolution” at p. 3. Citing statistics published by the federal Bureau of Labor Statistics, the report concluded that of the 1.4 million U.S. jobs that are projected to become “disrupted” because of robotic and other technological changes between now and 2026, 57 percent will be held by women.

But there could be good news for those concerned about gender wage equality. The report argued that an increased awareness of the impending effect of these changes, along with a concerted plan by governments, employers, businesses, labor unions and employees themselves to retrain or “reskill” disrupted workers, will present displaced workers with more opportunities for jobs at higher pay levels than their current wages. In a summary of the main report, the authors predicted that reskilling programs could result in higher wages for 74 percent of all currently at-risk female workers, thereby narrowing the gender wage gap.

Although job disruption from the use of robots will disproportionately impact women, the fact that it will result from “business necessity” means that employees may have difficultymounting successful legal challenges to this practice. Instead, thoughtful employers may want to focus their energies on learning more about the scope of this looming problem and, wherever possible, create or participate in programs that will reskill impacted employees, and thereby provide them with more opportunities in expanding and higher-paid occupations.  Nor is this an unrealistic proposition as, overall, in the decade ending in 2026, the U.S. job market is projected to create 11.5 million new jobs.

 

© 2018 Foley & Lardner LLP
This post was written by Gregory W. McClune of Foley & Lardner LLP.