May 2022

Digital Literacy, a Problem for Americans of All Ages and Experiences

Justice Shannon, MJLST Staffer

According to the American Library Association, “digital literacy” is “the ability to use information and communication technologies to find, evaluate, create, and communicate information, requiring both cognitive and technical skills.” Digital literacy is a term that has existed since the year 1997. Paul Gilster coined Digital literacy as “the ability to understand and use information in multiple formats from a wide range of sources when it is presented via computers.” In this way, the definition of digital literacy has broadened from how a person absorbs digital information to how one develops, absorbs, and critiques digital information.

The Covid-19 Pandemic taught Americans of all ages the value of Digital literacy. Elderly populations were forced online without prior training due to the health risks presented by Covid-19, and digitally illiterate parents were unable to help their children with classes.

Separate from Covid-19, the rise of crypto-currency has created a need for digital literacy in spaces that are not federally regulated.

Elderly

The Covid-19 pandemic did not create the need for digital literacy training for the elderly. However, the pandemic highlighted a national need to address digital literacy among America’s oldest population. Elderly family members quarantined during the pandemic were quickly separated from their families. Teaching family members how to use Zoom and Facebook messenger became a substitute for some but not all forms of connectivity. However, teaching an elderly family member how to use Facebook messenger to speak to loved ones does not enable them to communicate with peers or teach them other digital literacy skills.

To address digital literacy issues within the elderly population states have approved Senior Citizen Technology grants. Pennsylvania’s Department of Aging has granted funds to adult education centers for technology for senior citizens. Programs like this have been developing throughout the nation. For example, Prince George’s Community College in Maryland uses state funds to teach technology skills to its older population.

It is difficult to tell if these programs are working. States like Pennsylvania and Maryland had programs before the pandemic. Still, these programs alone did not reduce the distance between America’s aging population and the rest of the nation during the pandemic. However, when looking at the scale of the program in Prince George’s County, this likely was not the goal. Beyond that, there is a larger question: Is the purpose of digital literacy for the elderly to ensure that they can connect with the world during a pandemic, or is the goal simply ensuring that the elderly have the skills to communicate with the world? With this in mind, programs that predate the pandemic, such as the programs in Pennsylvania and Maryland, likely had the right approach even if they weren’t of a large enough scale to ensure digital literacy for the entirety of our elderly population.

Parents

The pandemic highlighted a similar problem for many American families. While state, federal, and local governments stepped up to provide laptops and access to the internet, many families still struggled to get their children into online classes; this is an issue in what is known as “last mile infrastructure.”During the pandemic, the nation quickly provided families with access to the internet without ensuring they were ready to navigate it. This left families feeling ill-prepared to support their children’s educational growth from home. Providing families with access to broadband without digital literacy training disproportionately impacted families of color by limiting their children’s growth capacity online compared to their peers. While this wasn’t an intended result, it is a result of hasty bureaucracy in response to a national emergency. Nationally, the 2022 Workforce Innovation Opportunity Act aims to address digital literacy issues among adults by increasing funding for teaching workplace technology skills to working adults. However, this will not ensure that American parents can manage their children’s technological needs.

Crypto

Separate from issues created by Covid-19 is cryptocurrency. One of the largest selling points of cryptocurrency is that it is largely unregulated. Users see it as “digital gold, free from hyper-inflation.”While these claims can be valid, consumers frequently are not aware of the risks of cryptocurrency. Last year the Chair of the SEC called cryptocurrencies “the wild west of finance rife with fraud, scams, and abuse.”This year the Department of the Treasury announced they would release instructional materials to explain how cryptocurrencies work. While this will not directly regulate cryptocurrencies providing Americans with more tools to understand cryptocurrencies may help reduce cryptocurrency scams.

Conclusion

Addressing digital literacy has been a problem for years before the Covid-19 pandemic. Additionally, when new technologies become popular, there are new lessons to learn for all age groups. Covid-19 appropriately shined a light on the need to address digital literacy issues within our borders. However, if we only go so far as to get Americans networked and prepared for the next national emergency, we’ll find that there are disparities between those who excel online and those who are are ill-equipped to use the internet to connect with family, educate their kids, and participate in e-commerce.


Would Autonomous Vehicles (AVs) Interfere with Our Fourth Amendment Rights?

Thao Nguyen, MJLST Staffer

Traffic accidents are a major issue in the U.S. and around the world. Although car safety features are continuously enhanced and improved, traffic crashes continue to be the leading cause of non-natural death for U.S. citizens. Most of the time, the primary causes are human errors rather than instrumental failures. Therefore, autonomous vehicles (“AVs”), which promise to be the automobiles that operate themselves without the human driver, are an exciting up and coming technology, studied and developed in both academia and industry[1].

To drive themselves, AVs must be able to perform two key tasks: sensing the surrounding environment and “driving”—essentially replacing the eyes and hands of the human driver.[2] The standard AV design today includes a sensing system that collects information from the outside world, assisting the “driving” function. The sensing system is composed of a variety of sensors,[3] most commonly a Light Detection and Ranging (LiDAR) and cameras.[4] A LiDAR is a device that emits laser pulses and uses sound navigation and ranging (“SONAR”) principles to get a depth estimation of the surroundings: the emitted laser pulses travel forward, hit an object, then bounce back to the receivers; the time taken for the pulses to travel back is measured, and the distance is computed. With this information about distance and depth, a 3D point cloud map is generated about the surrounding environment. In addition to precise 3D coordinates, most LiDAR systems also record “intensity.” “Intensity” is the measure of the return strength of the laser pulse, which is based, in part, on the reflectivity of the surface struck by the laser pulse. LiDAR “intensity” data thus reveal helpful information about the surface characteristics of their surroundings. The two sensors, the camera and the LiDAR, complement each other: the former conveys rich appearance data with more details on the objects, whereas the latter is able to capture 3D measurements[5]. Fusing the information acquired by each allows the sensing system to gain a reliable environmental perception.[6]

LiDAR sensing technology is usually combined with artificial intelligence, as its goal is to imitate and eventually replace human perception in driving. Today, the majority of artificial intelligences use “machine learning,” a method that gives computers the ability to learn without explicitly being programmed. With machine learning, computers train itself to do new tasks in a similar manner as do humans: by exploring data, identifying patterns, and improving upon past experiences. Applied machine learning is data-driven: the greater the breadth and depth of the data supplied to the computer, the greater the variety and complexity of the tasks that the computer can program itself to do. Since “driving” is a combination of multiple high-complexity tasks, such as object detection, path planning, localization, lane detection, etc., an AV that drives itself requires voluminous data in order to operate properly and effectively.

“Big data” is already considered a valuable commodity in the modern world. In the case of AVs, however, this data will be of public streets and road users, and the large-scale collection of this data is empowered further by various technologies to detect and identify, track and trace, mine and profile data. When profiles about a person’s traffic movements and behaviors exist in a database somewhere, there is a great temptation for the information to be used for other purposes than the purpose for which they were originally collected, as has been the case with a lot of other “big data” today. Law enforcement officers who get their hands on these AVs data can track and monitor people’s whereabouts, pinpointing individuals whose trajectories touch on suspicious locations at a high frequency. The trajectories can be matched with the individual identified via use of car models and license plates. The police may then identify crime suspects based on being able to see the trajectories of everyone in the same town, rather than taking the trouble to identify and physically track each suspect. Can this use of data by law enforcement be sufficiently justified?

As we know, use of “helpful” police tools may be restricted by the Fourth Amendment, and for good reasons. Although surveillance helps police officers detect criminals,[7] extraneous surveillance has its social costs: restricted privacy and a sense of being “watched” by the government inhibits citizens’ productivity, creativity, spontaneity, and causes other psychological effects.[8] Case law has given us guidance to interpret and apply the Fourth Amendment standards of “trespass” or “unreasonable searches and seizures” by the police. Three principal cases, Olmstead v. United States, 277 U.S. 438 (1928), Goldman v. United States, 316 U.S. 129 (1942), and United States v. Jones, 565 U.S. 400 (2012), a modern case, limit Fourth Amendment protection to protecting against physical intrusion into private homes and properties. Such protection would not be helpful in the case of LiDAR, which operates on public street as a remote sensing technology. Nonetheless, despite the Jones case, the more broad “reasonable expectation of privacy” test established by Katz v. United States, 389 U.S. 347 (1967) is more widely accepted. Instead of tracing physical boundaries of “persons, houses, papers, and effects,” the Katz test focuses on whether there is an expectation of privacy that is socially recognized as “reasonable.” The Fourth Amendment “protects people, not places,” wrote the Katz court.[9]

United States v. Knotts, 460 U.S. 276 (1983) was a public street surveillance case that invoked the Katz test. In Knotts, the police installed a beeper on to the defendant’s vehicle to track it. The Court found that such tracking on public streets was not prohibited by the Fourth Amendment: “A person traveling in an automobile on public thoroughfares has no reasonable expectation of privacy in his movements from one place to another.”[10] The Knotts Court thus applied the Katz test and considered the question of whether there was a “reasonable expectation of privacy,” meaning that such expectation was recognized as “reasonable” by society.[11] The Court’s answer is in the negative: unlike a person in his dwelling place, a person who is traveling on public streets “voluntarily conveyed to anyone who wanted to look at the fact that he was traveling over particular roads in a particular direction.”[12]

United States v. Maynard, 615 F.3d 544 (2010), another public street surveillance case taking place in the twenty-first century, reconsidered the Knotts holding regarding “reasonable expectation of privacy” on public streets. The Maynard defendant argued that the district court erred in admitting evidence acquired by the police’s warrantless use of a Global Pointing System (GPS) device to track defendant’s movements continuously for a month.[13] The Government invoked United States v. Knotts and its holding that “[a] person traveling in an automobile on public thoroughfares has no reasonable expectation of privacy in his movements from one place to another.”[14] The DC Circuit Court of Appeals, however, distinguished Knotts, pointing out that the Government in Knotts used a beeper that tracked a single journey, whereas the Government’s GPS monitoring in Maynard was sustained 24 hours a day continuously for one month.[15]The use of the GPS device over the course of one month did more than simply tracking defendant’s “movements from one place to another.” The result in Maynard was the discovery of the “totality and pattern” of defendant’s movement. [16]The Court is willing to make a distinction between “one path” and “the totality of one’s movement”: since someone’s “totality of movement” is much less exposed to the view of the public and much more revealing of that person’s personal life, it is constitutional for the police to track an individual on “one path,” but not that same individual’s “totality of movement.”

Thus, with time the Supreme Court appears to be recognizing that when it comes to modern surveillance technology, the sheer quantity and the revealing nature of data collected on movements of public street users ought to raise concerns. The straightforward application of these to AV sensing data would be that data concerning a person’s “one path” can be obtained and used, but not the totality of a person’s movement. It is unclear where to draw the line      between “one path” and “the totality of movement.” The surveillance in Knotts was intermittent over the course of three days,[17] whereas the defendant in Maynard was tracked for over one month. The limit would perhaps fall somewhere in between.

Furthermore, this straightforward application is complicated by the fact that the sensors utilized by AVs do not pick up mere locational information. As discussed above, AV sensing system, being composed of multiple sensors, capture both camera images and information about speed, texture, and depth of the object. In other words, AVs do not merely track a vehicle’s location like a beeper or GPS, but they “see” the vehicle through their cameras and LiDAR and radar devices, gaining a wealth of information. This means that even if only data about “one path” of a person movement is extracted, this “one path” data as processed by AV sensing systems is much more in-depth than what a beeper or CSLI can communicate. Adding to this, current developers are proposing to create AVs networks that share data among many vehicles, so that data on “one path” can potentially be combined with other data of the same vehicle’s movement, or multiple views of the same “one path” from different perspectives can be combined. The extensiveness of these data goes far beyond the precedents in Knotts and Maynard. Thus, it is foreseeable that unwarranted subpoenaing AVs sensing data is firmly within the Supreme Court’s definition of a “trespass.”

[1] Tri Nguyen, Fusing LIDAR sensor and RGB camera for object detection in autonomous vehicle with fuzzy logic approach, 2021 International Conference on Information Networking (ICOIN) 788, 788 (2021).

[2] Id. (“An autonomous vehicle or self-driving car is a vehicle having the ability to sense the surrounding environment and capable of operation on its own without any human interference. The key to the perception system holding responsibility to collect the information in the outside world and determine the safety of the vehicle is a variety of sensors mounting on it.”)

[3] Id. “The key to the perception system holding responsibility to collect the information in the outside world and determine the safety of the vehicle is a variety of sensors mounted on it.”

[4] Heng Wang and Xiaodong Zhang, Real-time vehicle detection and tracking using 3D LiDAR, Asian Journal of Control 1, 1 (“Light Detection and Ranging (LiDAR) and cameras [6,8] are two kinds of commonly used sensors for obstacle detection.”)

[5] Id. (“Light Detection and Ranging (LiDAR) and cameras [6,8] are two kinds of commonly used sensors for obstacle detection.”) (“Conversely, LiDARs are able to produce 3D measurements and are not affected by the illumination of the environment [9,10].”).

[6] Nguyen, supra note 1, at 788 (“Due to the complementary of two sensors, it is necessary  to gain a more reliable environment perception by fusing the  information acquired from these two sensors.”).

[7] Raymond P. Siljander & Darin D. Fredrickson, Fundamentals of Physical Surveillance: A Guide for Uniformed and Plainclothes Personnel, Second Edition (2002) (abstract).

[8] Tamara Dinev et al., Internet Privacy Concerns and Beliefs About Government Surveillance – An Empirical Investigation, 17 Journal of Strategic Information Systems 214, 221 (2008) (“Surveillance has social costs (Rosen, 2000) and inhibiting effects on spontaneity, creativity, productivity, and other psychological effects.”).

[9] Katz v. United States, 389 U.S. 347, 351 (1967).

[10] United States v. Knotts, , 460 U.S. 276, 281 (1983) (“A person traveling in an automobile on public thoroughfares has no reasonable expectation of privacy in his movements from one place to another.”)

[11] Id. at 282.

[12] Id.

[13] United States v. Maynard, 615 F.3d 544, 549 (2010).

[14]  Id. at 557.

[15] Id. at 556.

[16] Id. at 558 “[O]nes’s movements 24 hours a day for 28 days as he moved among scores of places, thereby discovering the totality and pattern of his movements.”).

[17] Knotts at 276.


Extending Trademark Protections to the Metaverse

Alex O’Connor, MJLST Staffer

After a 2020 bankruptcy and steadily decreasing revenue that the company attributes to the Coronavirus pandemic, Chuck E. Cheese is making the transition to a pandemic-proof virtual world. Restaurant and arcade center Chuck E. Cheese is hoping to revitalize its business model by entering the metaverse. In February, Chuck E. Cheese filed two intent to use trademark filings with the USPTO. The trademarks were filed under the names “CHUCK E. VERSE” and “CHUCK E. CHEESE METAVERSE”. 

Under Section 1 of the Lanham Act, the two most common types of applications for registration of a mark on the Principal Register are (1) a use based application for which the applicant must have used the mark in commerce and (2) an “intent to use” (ITU) based application for which the applicant must possess a bona fide intent to use the mark in trade in the near future. Chuck E. Cheese has filed an ITU application for its two marks.

The metaverse is a still-developing virtual and immersive world that will be inhabited by digital representations of people, places, and things. Its appeal lies in the possibility of living a parallel, virtual life. The pandemic has provoked a wave of investment into virtual technologies, and brands are hurrying to extend protection to virtual renditions of their marks by registering specifically for the metaverse. A series of lawsuits related to alleged infringing use of registered marks via still developing technology has spooked mark holders into taking preemptive action. In the face of this uncertainty, the USPTO could provide mark holders with a measure of predictability by extending analogue protections of marks used in commerce to substantially similar virtual renditions. 

Most notably, Hermes International S.A. sued the artist Mason Rothschild for both infringement and dilution for the use of the term “METABIRKINS” in his collection of Non-Fungible Tokens (NFTs). Hermes alleges that the NFTs are confusing customers about the source of the digital artwork and diluting the distinctive quality of Hermes’ popular line of handbags. The argument continues that the term “META” is merely a generic term that simply means “BIRKINS in the metaverse,” and Rothschild’s use of the mark constitutes trading on Hermes’ reputation as a brand.  

Many companies and individuals are rushing to the USPTO to register trademarks for their brands to use in virtual reality. Household names such as McDonalds (“MCCAFE” for a virtual restaurant featuring actual and virtual goods), Panera Bread (“PANERAVERSE” for virtual food and beverage items), and others have recently filed applications for registration with the USPTO for virtual marks. The rush of filings signals a recognition among companies that the digital marketplace presents countless opportunities for them to expand their brand awareness, or, if they’re not careful, for trademark copycats to trade on their hard-earned good will among consumers.

Luckily for Chuck E. Cheese and other companies that seek to extend their brands into the metaverse, trademark protection in the metaverse is governed by the same set of rules governing regular analogue trademark protection. That is, the mark the company is seeking to protect must be distinctive, it must be used in commerce, and it must not be covered by a statutory bar to protection. For example, if a mark’s exclusive use by one firm would leave other firms at a significant non-reputation related disadvantage, the mark is said to be functional, and it can’t be protected. The metaverse does not present any additional obstacles to trademark protection, and so as long as Chuck E. Cheese eventually uses its two marks,it will enjoy their exclusive use among consumers in the metaverse. 

However, the relationship between new virtual marks and analogue marks is a subject of some uncertainty. Most notably, should a mark find broad success and achieve fame in the metaverse, would that virtual fame confer fame in the real world? What will trademark expansion into the metaverse mean for licensing agreements? Clarification from the USPTO could help put mark holders at ease as they venture into the virtual market. 

Additionally, trademarks in the metaverse present another venue in which trademark trolls can attempt to register an already well known mark with no actual intent to use it-—although the requirement under U.S. law that mark holders either use or possess a bona fide intent to use the mark can help mitigate this problem. Finally, observers contend that the expansion of commerce into the virtual marketplace will present opportunities for copycats to exploit marks. Already, third parties are seeking to register marks for virtual renditions of existing brands. In response, trademark lawyers are encouraging their clients to register their virtual marks as quickly as possible to head off any potential copycat users. The USPTO could ensure brands’ security by providing more robust protections to virtual trademarks based on a substantially similar, already registered analogue trademark.