Unsettled Legal Issues Facing Data In Autonomous Connected Electric And Shared Vehicles


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Unsettled Legal Issues Facing Data in Autonomous, Connected, Electric, and Shared Vehicles


Unsettled Legal Issues Facing Data in Autonomous, Connected, Electric, and Shared Vehicles

Author: Jennifer Dukarski

language: en

Publisher: SAE International

Release Date: 2021-09-13


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Modern automobiles collect around 25 gigabytes of data per hour and autonomous vehicles are expected to generate more than 100 times that number. In comparison, the Apollo Guidance Computer assisting in the moon launches had only a 32-kilobtye hard disk. Without question, the breadth of in-vehicle data has opened new possibilities and challenges. The potential for accessing this data has led many entrepreneurs to claim that data is more valuable than even the vehicle itself. These intrepid data-miners seek to explore business opportunities in predictive maintenance, pay-as-you-drive features, and infrastructure services. Yet, the use of data comes with inherent challenges: accessibility, ownership, security, and privacy. Unsettled Legal Issues Facing Data in Autonomous, Connected, Electric, and Shared Vehicles examines some of the pressing questions on the minds of both industry and consumers. Who owns the data and how can it be used? What are the regulatory regimes that impact vehicular data use? Is the US close to harmonizing with other nations in the automotive data privacy? And will the risks of hackers lead to the “zombie car apocalypse” or to another avenue for ransomware? This report explores a number of these legal challenges and the unsettled aspects that arise in the world of automotive data. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2021019

Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights


Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights

Author: Brittany Eastman

language: en

Publisher: SAE International

Release Date: 2022-07-28


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Facial recognition software (FRS) is a form of biometric security that detects a face, analyzes it, converts it to data, and then matches it with images in a database. This technology is currently being used in vehicles for safety and convenience features, such as detecting driver fatigue, ensuring ride share drivers are wearing a face covering, or unlocking the vehicle. Public transportation hubs can also use FRS to identify missing persons, intercept domestic terrorism, deter theft, and achieve other security initiatives. However, biometric data is sensitive and there are numerous remaining questions about how to implement and regulate FRS in a way that maximizes its safety and security potential while simultaneously ensuring individual’s right to privacy, data security, and technology-based equality. Legal Issues Facing Automated Vehicles, Facial Recognition, and Individual Rights seeks to highlight the benefits of using FRS in public and private transportation technology and addresses some of the legitimate concerns regarding its use by private corporations and government entities, including law enforcement, in public transportation hubs and traffic stops. Constitutional questions, including First, Forth, and Ninth Amendment issues, also remain unanswered. FRS is now a permanent part of transportation technology and society; with meaningful legislation and conscious engineering, it can make future transportation safer and more convenient. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2022016

Human Factors in Design, Engineering, and Computing


Human Factors in Design, Engineering, and Computing

Author: Waldemar Karwowski

language: en

Publisher: AHFE Conference

Release Date: 2024-11-08


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Proceedings of the AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition), Honolulu, Hawaii, USA 8-10, December 2024