Analysis of personal data can be used to improve services, advance research, and combat discrimination. However, such analysis can also create valid concerns about differential treatment of individuals or harmful impacts on vulnerable communities. These concerns can be amplified when automated decision-making uses sensitive data (such as race, gender, or familial status), impacts protected classes, or affects individuals’ eligibility for housing, employment, or other core services. When seeking to identify harms, it is important to appreciate the context of interactions between individuals, companies, and governments—including the benefits provided by automated decision-making frameworks, and the fallibility of human decision-making.
Posts by Lauren Smith
Yesterday, the Department of Transportation and the National Highway Traffic Safety Administration issued updated guidance for autonomous vehicles; streamlining last year’s guidance, incorporating public comments, and stripping privacy from its recommendations.
A new report released today by the United States Government Accountability Office reviews consumer privacy issues related to connected vehicles. The report examines the use, types, and sharing of vehicle data; surveys automakers to understand how their privacy policies align with privacy best practices; consults experts in the field to understand the issues at play in this space; and examines related Federal efforts.
In a rare moment of bipartisanship, the House Energy and Commerce Committee yesterday unanimously approved the SELF DRIVE Act H.R. 3388, sending it to the full House of Representatives for consideration. The bill facilitates introduction and testing of autonomous cars by clarifying federal and state roles, and by granting exemptions from motor vehicle standards that have impeded introduction of new automated vehicle technologies. This vote was an important step forward in enabling introduction of new technologies that have the potential to transform the future of mobility and maximize consumer safety.
On Monday, the Future of Privacy Forum submitted written comments to the Federal Trade Commission and the Department of Transportation, National Highway Traffic Safety Administration in response to their request for input on the benefits and privacy and security issues associated with current and future motor vehicles.
Yesterday, the Future of Privacy Forum submitted written comments to the Department of Transportation and National Highway Traffic Safety Administration in response to their Notice of Proposed Rulemaking on Vehicle to Vehicle Communications.
On Monday, the Future of Privacy Forum joined with the Center for Democracy & Technology, the Electronic Frontier Foundation, The Constitution Project, and Tech Freedom to write the NYC Taxi and Limousine Commission (TLC) about its proposed rules that add new trip reporting requirements for for-hire vehicle (FHV) bases.
Today, the Future of Privacy Forum submitted comments regarding the Department of Transportation’s National Highway Traffic Safety Administration Request for Comment on the Federal Automated Vehicles Policy guidance published in the Federal Register on September 23, 2016.
On October 6, 2016, Professor Joshua Fairfield from the Washington and Lee University School of Law joined us to discuss a chapter from his upcoming book, “Owned: How the Internet of Things Took Our Property and Privacy.”
In the federal guidance for autonomous vehicles issued yesterday, the Department of Transportation and the National Highway Traffic Safety Administration have wisely recognized that privacy will play a key role in promoting trust in connected vehicles. This guidance and its emphasis on privacy is an important first step in building that trust.