All content tagged with: Cybersecurity Data and Privacy
Filter
Post List
Privacy Frameworks for Smart Cities
This paper identifies some of the core privacy considerations raised by smart cities – government surveillance and data security in Part I. Then, Part II proposes a set of core principles for smart cities to consider in the development and deployment of smart cities to address privacy concerns. These principles include: (A) human-centric approaches to smart cities design and implementation, (B) transparency for city residents, (C) privacy by design, (D) anonymization and deidentification, (E) data minimization and purpose specification, (F) trusted data sharing, and (G) cybersecurity resilience.Contracting Tools for Transportation Data
Troves of transportation data can be, and are, produced by smart infrastructure. Municipalities collect various kinds of transportation data, including traffic information such as accidents, flows, and volumes; bicycle information such as bike counts; pedestrian information such as pedestrian counts; smart bus stop information; street mapping information; location information for traffic signals; mapping details such as the miles of city streets; and information on roadwork and infrastructure planning such as construction or road closures expected to affect traffic. Governments, educational institutions, non-profit enterprises, and businesses find transportation data useful for purposes such as improving infrastructure, reducing traffic congestion, improving vehicle and pedestrian safety, providing public security and emergency services, making transportation services more accessible, improving civic planning and design, research and development of new mobility products and services (including machine learning), and researching other potential uses for the data. Wider availability and sharing of transportation data would help to facilitate the development, testing, and adoption of smart infrastructure and connected and automated modes of transportation (collectively, “smart mobility products and services”). However, there are barriers to the accessibility of transportation data for these purposes. One is that there is a lack of standardization and clarity in the permissions granted when transportation data is made available, and another is that privacy and other concerns prevent much of the data that could be useful from being made available; an example of the latter is the discontinuation of a smart streetlights project in San Diego due to concerns about the potential use of transportation data for surveillance purposes. This paper explores license provisions and contracting tools that data providers can consider using when making transportation data publicly available. Part II describes the kinds of provisions that data providers typically include in the licenses or other terms and conditions that they apply to transportation data. Part III examines the agreements under which specific municipalities in four states (Michigan, California, Pennsylvania, and Arizona) make transportation data publicly available, including pursuant to template agreements. Part IV identifies additional template agreements that are available for use by data providers when making data publicly available. Finally, Part V sets out key considerations for data providers in choosing the terms under which they make their transportation data available.Data Governance Frameworks for Smart Cities: Key Considerations for Data Management and Use
The proliferation of “smart technologies” has created significant opportunities to leverage data to improve everyday life across sectors. In cities around the world, local governments and private enterprises, often partnering together, have launched projects that integrate smart technologies with Internet of Things (“IoT”) capabilities into public spaces in order to promote efficiency, safety, mobility, and innovation. At the same time, smart cities must balance the need for robust data in order to achieve these benefits with public concerns regarding privacy and data use. This paper examines the key attributes of smart cities, the essential role that data plays in fueling smart cities, and the importance of establishing appropriate guidelines to govern the management and use of the massive amounts of data that smart cities generate. This paper refers to such guidelines as “data governance” frameworks. Drawing on case studies from cities in both the U.S. and other countries, the paper discusses trends and challenges in data governance that are impacting the success of smart cities projects. Based on this analysis, the paper outlines key considerations that should be taken into account to develop data governance frameworks that will promote the success of smart cities and the benefits that they bring.The Government Response to the Pipeline Hack Could Lead to Better Transportation Cybersecurity
As someone who has thought about cybersecurity for some time, including in previous posts on this blog, the recent events around the hack of the Colonial Pipeline has been front of mind, and not just because I live in Washington, D.C., where gas stations have been…A Michigan Facial Recognition Law Suit and The Future of Cameras in Cars
Last week, Claire wrote about how Fourth Amendment precedents and facial recognition technologies could allow law enforcement to use AVs and other camera-equipped transportation technologies as a means of surveillance. In that post she mentioned the case of Robert Julian-Borchak Williams, who last year was arrested by the…AVs Must Steer Clear of Illegal Surveillance
In light of the 2021 Law and Mobility Conference’s focus on equity, the Journal of Law & Mobility Blog will publish a series of blog posts surveying the civil rights issues with connected and autonomous vehicle development in the U.S. This is the fourth and final part of the…2021 Conference Panel 1: Emerging Transportation Technologies, a Primer
The 2021 Law and Mobility Conference opened with a panel, moderated by Emily Frascaroli, that set out to begin answering three questions: What are emerging transportation technologies? What is the legal landscape surrounding these technologies? What are some challenges that these technologies face, in terms of both gaining…Uber and Lyft to Remain Online in California, While Two Other Recent Cases Highlight Other Legal Issues for Uber
Last week I discussed the California Superior Court decision that ruled that under California law Uber and Lyft must classify their ridesharing drivers as employees, rather than independent contractors. In response to that ruling, both companies had threatened to shut down service across the state. Yesterday, an appeals court…User Data, Privacy Concerns, and Transportation Tech
If there are any ideas that the internet believes to be the truth in this modern day in age, I think that the following would at least make the list: the government is likely watching you through the camera in your laptop, and Facebook’s algorithm may know you better…No More Robotaxis? 2020, The Reality Check for OEMs
Several major OEMs have recently announced scaling back of their shared or automated mobility ventures. Ford and Volkswagen are giving up investments in “robotaxis” – the CEO of their software partner, Argo, was quoted saying he “hates the word” anyway – and similar services operated by German automakers are…