解决自动驾驶汽车时代责任和隐私难题的卷积

Aarushi Kapoor, Khushi Sharma
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摘要

自汽车制造商在高端车型中采用自动驾驶汽车以来,汽车行业的增长率无可挑剔。这些全自动驾驶汽车将取代传统的人类司机。因此,在涉及车辆的事故中界定责任的一整套法律必须进行改革。用自动驾驶汽车代替人类司机是不切实际的。随着涉及自动驾驶汽车的事故越来越多,像密歇根港拉库纳斯这样的新法律正在形成,以解决责任问题,因此,无辜的人(在很多情况下是制造商)被认为负有绝对责任,尽管他进行了辩护。这种强硬的立场不利于科技的发展。除了围绕责任的难题之外,在自动化方面还有其他同样未解决的方面。这些自动驾驶汽车依赖于数据,从而增加了个人隐私保护的脆弱性。这些泛滥的混乱可能会阻碍技术的发展和随后对商业利益的保护。本文试图全面分析围绕自动驾驶汽车的责任和隐私保护问题的不确定性。它考虑到技术友好的法律解释,这将平衡截然相反的变量。它从现有的一套可用的原则中得出法律。此外,它提出了一个新的框架,消除了模糊性,并以积极的方式总结了一些建议,这些建议可能会强调现行法律的有效性,并为今后制定法律奠定基础。
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The Convolution Addressing the Conundrum of Liability and Privacy in the Age of Autonomous Vehicles
The Automotive Industry has registered an impeccable growth rate since the adoption of autonomous vehicles by vehicle manufacturers in their high-end models. These fully autonomous vehicles are poised to replace the traditional human driver. Hence, the whole set of laws defining liability in the event of an accident involving a vehicle have to be reformed. An autonomous vehicle being sued in lieu of a human driver, would be impractical. With the accidents involving autonomous vehicles increasing, newly minted laws like that of Michigan Harbor Lacunas are forming to address the question of liability and as a consequence of which the innocent (the manufacturer in so many cases) is held absolutely liable, despite his pleading defense. Such a harsh stance is unhealthy for the development of technology. Apart from the conundrum surrounding liability there are other dimensions which are equally unaddressed when it comes to automation. These autonomous vehicles rely on data, thereby adding to the vulnerability of protection of an individual’s privacy. These brimming chaos are likely to hamper the aggrandizement of technology and subsequent protection of commercial interests. This Article is an attempt to comprehensively analyze the uncertainty surrounding the questions of liability and privacy protection for autonomous vehicles. It takes into account the technology friendly interpretation of law, which will balance the diametrically opposite variables. It draws the laws from the existing set of principles available. Further, it proposes a new framework eliminate obscurity and concludes on a positive note with recommendations which are likely to accentuate the effectiveness of the current laws and lay down a steppingstone for the future development of laws.
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