Encoding the Enforcement of Safety Standards into Smart Robots to Harness Their Computing Sophistication and Collaborative Potential: A Legal Risk Assessment for European Union Policymakers

IF 1.8 Q1 LAW European Journal of Risk Regulation Pub Date : 2023-11-06 DOI:10.1017/err.2023.72
Riccardo Vecellio Segate, Angela Daly
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Abstract

Abstract Until robots and humans mostly worked in fast-paced and yet separate environments, occupational health and safety (OHS) rules could address workers’ safety largely independently from robotic conduct. This is no longer the case: collaborative robots (cobots) working alongside humans warrant the design of policies ensuring the safety of both humans and robots at once, within shared spaces and upon delivery of cooperative workflows. Within the European Union (EU), the applicable regulatory framework stands at the intersection between international industry standards and legislation at the EU as well as Member State level. Not only do current standards and laws fail to satisfactorily attend to the physical and mental health challenges prompted by human–robot interaction (HRI), but they exhibit important gaps in relation to smart cobots (“SmaCobs”) more specifically. In fact, SmaCobs combine the black-box unforeseeability afforded by machine learning with more general HRI-associated risks, towards increasingly complex, mobile and interconnected operational interfaces and production chains. Against this backdrop, based on productivity and health motivations, we urge the encoding of the enforcement of OHS policies directly into SmaCobs. First, SmaCobs could harness the sophistication of quantum computing to adapt a tangled normative architecture in a responsive manner to the contingent needs of each situation. Second, entrusting them with OHS enforcement vis-à-vis both themselves and humans may paradoxically prove safer as well as more cost-effective than for humans to do so. This scenario raises profound legal, ethical and somewhat philosophical concerns around SmaCobs’ legal personality, the apportionment of liability and algorithmic explainability. The first systematic proposal to tackle such questions is henceforth formulated. For the EU, we propose that this is achieved through a new binding OHS Regulation aimed at the SmaCobs age.
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将安全标准的执行编码到智能机器人中,以利用其计算复杂性和协作潜力:欧盟政策制定者的法律风险评估
在机器人和人类主要在快节奏且独立的环境中工作之前,职业健康与安全(OHS)规则可以在很大程度上独立于机器人的行为来解决工人的安全问题。这种情况已不复存在:与人类一起工作的协作机器人(cobots)保证了政策的设计,确保人类和机器人同时在共享空间和协作工作流交付时的安全。在欧盟(EU)内部,适用的监管框架位于国际行业标准和欧盟以及成员国立法之间的交叉点。目前的标准和法律不仅不能令人满意地解决人机交互(HRI)带来的身心健康挑战,而且在智能协作机器人(“SmaCobs”)方面表现出更具体的重要差距。事实上,smacob将机器学习提供的黑箱不可预测性与更普遍的人力资源相关风险结合起来,朝着日益复杂、移动和互联的操作界面和生产链发展。在此背景下,基于生产力和健康动机,我们敦促将职业健康安全政策的执行直接编码到smacob中。首先,smacob可以利用量子计算的复杂性,以响应的方式调整复杂的规范架构,以满足每种情况的偶然需求。其次,委托他们对-à-vis进行OHS执法,无论是他们自己还是人类,都可能自相矛盾地证明比人类更安全,也更划算。这种情况引发了对smacob的法律人格、责任分配和算法可解释性的深刻的法律、伦理和哲学上的关注。因此,提出了第一个系统的解决这些问题的建议。对于欧盟,我们建议通过针对smacob年龄的新的具有约束力的OHS法规来实现这一目标。
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来源期刊
CiteScore
6.10
自引率
0.00%
发文量
34
期刊介绍: European Journal of Risk Regulation is an interdisciplinary forum bringing together legal practitioners, academics, risk analysts and policymakers in a dialogue on how risks to individuals’ health, safety and the environment are regulated across policy domains globally. The journal’s wide scope encourages exploration of public health, safety and environmental aspects of pharmaceuticals, food and other consumer products alongside a wider interpretation of risk, which includes financial regulation, technology-related risks, natural disasters and terrorism.
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