反编程偏见:利用自动驾驶汽车和驾驶辅助技术的数据将排他规则扩展到前文交通停车

Joe Hillman
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引用次数: 0

摘要

随着自动驾驶汽车变得越来越普遍,道路变得越来越安全,这项新技术为法院重新考虑现代搜查和扣押法的宪法依据提供了机会。最高法院应该允许司机使用与他们的车辆技术能力相关的警察行为证据来辩称交通拦截是借口,这意味着他们被拦截的原因不是他们所谓的违规行为。此外,法院应扩大排除规则,禁止使用在借口停止后提取的证据。法院应保留扩大的排除规则的一些例外情况,例如当存在重大的公共安全问题时。在半自治的世界里,最高法院有机会对第四修正案的保护采取更广泛的看法,并在这样做的过程中,帮助纠正交通停车时的种族定性问题。
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Deprogramming Bias: Expanding the Exclusionary Rule to Pretextual Traffic Stop Using Data from Autonomous Vehicle and Drive-Assistance Technology
As autonomous vehicles become more commonplace and roads become safer, this new technology provides an opportunity for courts to reconsider the constitutional rationale of modern search and seizure law. The Supreme Court should allow drivers to use evidence of police officer conduct relative to their vehicle’s technological capabilities to argue that a traffic stop was pretextual, meaning they were stopped for reasons other than their supposed violation. Additionally, the Court should expand the exclusionary rule to forbid the use of evidence extracted after a pretextual stop. The Court should retain some exceptions to the expanded exclusionary rule, such as when there is a major public safety concern. In the semi-autonomous world, the Court has the opportunity to adopt a more expansive vision of Fourth Amendment protections and, in doing so, help remedy the issue of racial profiling in traffic stops.
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