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Center for Nonlinear Studies |
New technologies are often deployed before the development team or regulatory agencies have time to sufficiently assess the privacy and security implications. Robotics is set to be the next major technological shift, with fleets of networked autonomous robots in our skies and on our roads. Uber self-driving cars have already been deployed in 3 states without public discussions of the data they collect, their capabilities, or implications. These autonomous vehicles have the capability to capture license plate data and use it to track and predict the locations of other vehicles in the city. This study explores people’s conceptions of the sensing and analysis capabilities of self-driving vehicles; their comfort with the different capabilities; and the effort, if any, to which they would be willing to go to opt out of data collection. Findings are applied, recommending a self-regulatory framework that keeps pace with deployment and function. Bio: Cara Bloom is Masters in Information Security Policy & Management Candidate at Carnegie Mellon University. Her research focuses on the privacy and security implications of emerging technologies, with a focus on how best to inform government use and regulation of technology. She is a member of the CyberCorps Scholarship for Service program, which promotes cybersecurity education for future US government employees. Cara is originally from Michigan (Go Blue!) and has a toothless cat named Moog.
Host: Juston Moore