防止机器撒谎:为什么跨学科合作对于理解人工或人工依赖的专家证据至关重要?

Tim J Wilson, J. Bergman, Adam Jackson, Oliver B Popov
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引用次数: 0

摘要

本文展示了一种截然不同的方法来管理因法律与计算机科学之间复杂而快速变化的关系而产生的证据风险。法律在适应科学和技术依赖性证据生产方面的历史问题,与其说是一个社会技术问题,不如说是刑事司法中的道德失误。这往往是由于律师和科学家在认识论上的不理解。刑事司法的政治经济学和国家机构内部的保障规避又加剧了这种情况。现在需要的是一种特别广泛的跨学科合作,使刑事司法决策者能够理解和管理进一步道德失范的风险。然而,如果对法律与技术的学术研究要解决实践者所关注的问题,往往需要将理论分析细化到具体的司法层面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preventing Machines From Lying: Why Interdisciplinary Collaboration is Essential for Understanding Artefactual or Artefactually Dependent Expert Evidence
This article demonstrates a significantly different approach to managing probative risks arising from the complex and fast changing relationship between law and computer science. Law's historical problem in adapting to scientific and technologically dependent evidence production is seen less as a socio-techno issue than an ethical failure within criminal justice. This often arises because of an acceptance of epistemological incomprehension between lawyers and scientists. Something compounded by the political economy of criminal justice and safeguard evasion within state institutions. What is required is an exceptionally broad interdisciplinary collaboration to enable criminal justice decision-makers to understand and manage the risk of further ethical failure. If academic studies of law and technology are to address practitioner concerns, it is often necessary, however, to step down the doctrinal analysis to a specific jurisdictional level.
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