Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.

Browsing by Author "Hauser, Kris"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Consumer Cloud Robotics and the Fair Information Practice Principles: Recognizing the Challenges and Opportunities Ahead
    (Minnesota Journal of Law, Science & Technology, 2015) Hauser, Kris; Proia, Andrew; Simshaw, Drew
    Rapid technological innovation has made commercially accessible consumer robotics a reality. At the same time, individuals and organizations are turning to “the cloud” for more convenient and cost effective data storage and management. It seemed only inevitable that these two technologies would merge to create cloud robotics, “a new approach to robotics that takes advantage of the Internet as a resource for massively parallel computation and sharing of vast data resources.” By making robots lighter, cheaper, and more efficient, cloud robotics could be the catalyst for a mainstream consumer robotics marketplace. However, this new industry would join a host of modern consumer technologies that seem to have rapidly outpaced the legal and regulatory regimes implemented to protect consumers. Recently, consumer advocates and the tech industry have focused their attention on information privacy and security, and how to establish sufficient safeguards for the collection, retention, and dissemination of personal information while still allowing technologies to flourish. Underlying a majority of these proposals are a set of principles that address how personal information should be collected, used, retained, managed, and deleted, known as the Fair Information Practice Principles (FIPPs). This Article examines recent frameworks that articulate how to apply the FIPPs in a consumer setting, and dissects how these frameworks may affect the emergence of cloud-enabled domestic robots. By considering practical observations of how cloud robotics may emerge in a consumer marketplace regulated by the FIPPs, this research will help both the information privacy and robotics fields in beginning to address privacy and security challenges from a law and policy perspective, while also fostering collaboration between roboticists and privacy professionals alike.