利用机器人实验优化新兴机器人技术的监管框架

IF 1.8 Q3 PUBLIC ADMINISTRATION
Data & policy Pub Date : 2022-06-13 DOI:10.1017/dap.2022.12
Carlos Calleja, Hadassah Drukarch, E. Fosch-Villaronga
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引用次数: 4

摘要

摘要从外骨骼到轻便的机器人服,可穿戴机器人正在动态而快速地变化,这挑战了法律和监管标准的及时性,而这些标准并不是为帮助轮椅使用者再次行走的机器人准备的。在这种情况下,为监管机构提供技术知识可以解决开发商和决策者之间的信息不对称问题,避免监管脱节的问题。本文介绍了推动机器人开发立法(PROPELLING),这是地平线2020 EUROBENCH项目对第三方的财政支持,该项目探讨了机器人测试设施如何生成与政策相关的知识,并支持机器人技术的优化法规。以ISO 13482:2014为案例研究,PROPELLING研究了如何将机器人试验台用作数据生成器,以改善下肢外骨骼的监管。具体而言,这篇文章讨论了机器人试验台如何帮助监管机构解决跌倒恐惧、碰撞不稳定等危险,或者定义安全场景,以避免突然的保护性停车产生的任何不利后果。这篇文章的中心观点是,试验台提供了一个很有前景的环境,可以让政策制定者更接近研发,使政策更适应社会需求。通过这种方式,可以利用这些近似值,基于科学和证据,为机器人和人工智能等新兴技术解开最佳监管框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harnessing robot experimentation to optimize the regulatory framing of emerging robot technologies
Abstract From exoskeletons to lightweight robotic suits, wearable robots are changing dynamically and rapidly, challenging the timeliness of laws and regulatory standards that were not prepared for robots that would help wheelchair users walk again. In this context, equipping regulators with technical knowledge on technologies could solve information asymmetries among developers and policymakers and avoid the problem of regulatory disconnection. This article introduces pushing robot development for lawmaking (PROPELLING), an financial support to third parties from the Horizon 2020 EUROBENCH project that explores how robot testing facilities could generate policy-relevant knowledge and support optimized regulations for robot technologies. With ISO 13482:2014 as a case study, PROPELLING investigates how robot testbeds could be used as data generators to improve the regulation for lower-limb exoskeletons. Specifically, the article discusses how robot testbeds could help regulators tackle hazards like fear of falling, instability in collisions, or define the safe scenarios for avoiding any adverse consequences generated by abrupt protective stops. The article’s central point is that testbeds offer a promising setting to bring policymakers closer to research and development to make policies more attuned to societal needs. In this way, these approximations can be harnessed to unravel an optimal regulatory framework for emerging technologies, such as robots and artificial intelligence, based on science and evidence.
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来源期刊
CiteScore
3.10
自引率
0.00%
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审稿时长
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