The Safety and Reliability of Networked Autonomous Vehicles: Ethical Dilemmas, Liability Litigation Concerns, and Regulatory Issues.

Author:Ljungholm, Doina Popescu
 
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  1. Introduction

    Whether the human driver is legally responsible is determined by the level to which the significant driverless vehicle is automated, and the level of command the human driver had over the circumstances preliminary to a certain accident. (Mackie, 2018) As the machine learning technology that assists autonomous cars is reliant on data gathering to make progress, there are unmanageable privacy risks. (Toral, 2018)

  2. Conceptual Framework and Literature Review

    Automated systems may get involved in an accident to circumvent the inevitability of discriminating between one life and many. Alternatively, the decision algorithm incorporated in the car's software may dictate who survives and who perishes. That option will be assessed by common individuals, functioning as judges and juries, and employing whatever resources are relevant to the issue of fairness. (Bradley Wendel, 2018) Self-driving vehicles cannot be designed and utilized in a socially unbiased manner (Androniceanu, 2017; Drugau-Constantin, 2018; Meila, 2018a; Nica, 2017; Popescu Ljungholm, 2018a), while tending toward higher quality performance in piloting operations relative to human drivers. (Liu, 2018) The scale at which autonomous cars emerge as a component of the transportation system is influenced by political choices concerning how to standardize the technology, back testing, and evaluate legal responsibility for accidents. (Penmetsa et al., 2019)

  3. Methodology and Empirical Analysis

    Using and replicating data from Cisco Systems, Ipsos, and Pew Research Center, I performed analyses and made estimates regarding % of U.S. adults who say the development of driverless vehicles makes them feel enthusiastic/worried, how often international drivers expect that they will use a vehicle in self-driving mode for parking, commuting, driving in the city, driving on the highway, driving in bad weather, and driving with passengers, and % of U.S. adults who expect driverless vehicles would help elderly and disabled be more independent, would feel safe sharing road with a driverless passenger vehicle, are very/somewhat enthusiastic about their widespread use, expect that they would reduce traffic injuries/deaths, would feel safe sharing road with a driverless freight truck, expect that driverless vehicles would reduce traffic in major cities, are very/somewhat worried about their widespread use, strongly favor requiring human at the wheel in case of emergency, strongly favor that they travel in dedicated lanes, or strongly favor restricting them from certain areas. Structural equation modeling was used to analyze the...

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