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Title 2.0: Discrimination Law in a Data-Driven Society
More than a quarter century after civil rights activists pioneered America’s first ridesharing network, the connections between transportation, innovation, and discrimination are again on full display. Industry leaders such as Uber, Amazon, and Waze have garnered widespread acclaim for successfully combatting stubbornly persistent barriers to transportation. But alongside this well-deserved praise has come a new set of concerns. Indeed, a growing number of studies have uncovered troubling racial disparities in wait times, ride cancellation rates, and service availability in companies including Uber, Lyft, Task Rabbit, Grubhub, and Amazon Delivery. Surveying the methodologies employed by these studies reveals a subtle, but vitally important, commonality. All of them measure discrimination at a statistical level, not an individual one. As a structural matter, this isn’t coincidental. As America transitions to an increasingly algorithmic society, all signs now suggest we are leaving traditional brick and-mortar establishments behind for a new breed of data-driven ones. Discrimination, in other words, is going digital. And when it does, it will manifest itself—almost by definition—at a macroscopic scale. Why does this matter? Because not all of our civil rights laws cognize statistically-based discrimination claims. And as it so happens, Title II could be among them. This piece discusses the implications of this doctrinal uncertainty in a world where statistically-based claims are likely to be pressed against data-driven establishments with increasing regularity. Its goals are twofold. First, it seeks to build upon adjacent scholarship by fleshing out the specific structural features of emerging business models that will make Title II’s cognizance of “disparate effect” claims so urgent. In doing so, it argues that it is not the “platform economy,” per se, that poses an existential threat to the statute but something deeper. The true threat, to borrow Lawrence Lessig’s framing, is architectural in nature. It is the algorithms underlying “platform economy businesses” that are of greatest doctrinal concern—regardless of whether such businesses operate inside the platform economy or outside it. Second, this essay joins others in calling for policy reforms focused on modernizing our civil rights canon. It argues that our transition from the “Internet Society” to the “Algorithmic Society” will demand that Title II receive a doctrinal update. If it is to remain relevant in the years and decades ahead, Title II must become Title 2.0.The Problem of Algorithmic Bias in Autonomous Vehicles
The common story of automated vehicle safety is that by eliminating human error from the driving equation, cars will act more predictably, fewer crashes will occur, and lives will be saved. That future is still uncertain though. Questions still remain about whether CAVs will truly be safer drivers than humans…Privacy Isn’t Only About State Action
Americans have traditionally had an understandable skepticism towards government collection of our data and monitoring of our private communications. The uproar caused by the Snowden leaks in 2013 was followed by increased public attention to data privacy. In a 2014-15 survey, 57% of respondents said that government monitoring…Vehicle Rental Laws: Road Blocks to Evolving Mobility Models?
The laws and regulations governing mobility are inconsistent and antiquated and should be modernized to encourage innovation as we prepare for an autonomous car future. The National Highway Traffic Safety Administration (“NHTSA”) has concluded that Autonomous Vehicles, or Highly Automated Vehicles (“HAVs”) may “prove to be the greatest personal transportation revolution since the popularization of the personal automobile nearly a century ago.” Preparation for a HAV world is underway as the mobility industry evolves and transforms itself at a remarkable pace. New mobility platforms are becoming more convenient, more automated and more data driven—all of which will facilitate the evolution to HAVs. However, that mobility revolution is hindered by an environment of older laws and regulations that are often incompatible with new models and platforms. Although there are a number of different mobility models, this article will focus on carsharing, peer-to-peer platforms, vehicle subscription programs, and rental car businesses (yes, car rental is a mobility platform). All of these mobility models face a host of inconsistent legal, regulatory and liability issues, which create operational challenges that can stifle innovation. For example, incumbent car rental, a mobility platform that has been in place for over 100 years, is regulated by various state and local laws that address everything from driver’s license inspections to use of telematics systems. Although physical inspection of a customer’s driver’s license at the time of rental is commonplace and expected in a traditional, face-to-face transaction, complying with the driver’s license inspection for a free-floating carsharing or other remote access mobility model becomes more problematic. Part B of this article will review current federal and state vehicle rental laws and regulations that may apply to incumbent rental car companies and other mobility models around the country, including federal laws preempting rental company vicarious liability and requiring the grounding of vehicles with open safety recalls, as well as state laws regulating GPS tracking, negligent entrustment, and toll service fees. Part C poses a series of hypotheticals to illustrate the challenges that the existing patchwork of laws creates for the mobility industry. For instance, whether a mobility operator can utilize GPS or telematics to monitor the location of a vehicle is subject to inconsistent state laws (permitted in Texas, but not California, for example). And vehicle subscription programs are currently prohibited in Indiana, but permitted in most other states. Similarly, peer-to-peer car rental programs currently are prohibited in New York, but permitted in most other states. Finally, Part D of the article will offer some suggested uniform rules for the mobility industry.CAVs, Big Data, and the Future of Urban Design
City design has long been shaped by modes of transportation. The transition is easy to spot as you move westward across America. Relatively compact eastern cities initially grew up in the 18th and 19th centuries, when people traveled by foot or by horse. Scattered across the plains, and particularly throughout…What Recent Stories on Google and GM Data Collection Mean for CAVs
Two recent news stories build interestingly on my recent blog post about CAVs and privacy. The first, from Forbes, detailing law enforcement use of “reverse location” orders, where by investigators can obtain from Google information on all Google users in a given location at a given time. This…CAVs and the New Push for Privacy Regulation
For many people, syncing their phone to their car is a convenience – allowing them to make hands-free calls or connect to media on their phone through the car’s infotainment system. But doing so can leave a lot of data on the car’s hardware, even after a user believes they…