From the Rule of Law to the Rule of Code? Predictive Data Analytics and the Changing Contours of UN Humanitarian Response

T. Soave
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Abstract

The field of humanitarian aid is undergoing a revolution, but international lawyers have not realized it yet. Thanks to the deployment of predictive data analytics, UN agencies and other humanitarian actors are increasingly able to forecast where and when a crisis will strike, who it will affect, and what needs it will create. These developments enable new forms of anticipatory humanitarian response, which promise to increase efficacy in the mitigation of disasters. However, international lawyers have so far been strikingly silent about the normative implications of this emergent ‘rule of code’. Seeking to fill this gap, this article assesses the impact of data-driven humanitarian response on the contours and practice of international law in its social context. Are predictive data truly capable of portraying neutral factual truths, thus removing the need to make responsible choices about humanitarian aid allocation? Will lawyers be relegated to a subservient position vis-à-vis the legions of digital experts who are swelling the ranks of humanitarian agencies? And, more generally, what does it take to think and do international law in the age of big crisis data?
从法治到代码治理?预测数据分析和联合国人道主义反应的变化轮廓
人道主义援助领域正在经历一场革命,但国际律师们还没有意识到这一点。由于部署了预测性数据分析,联合国机构和其他人道主义行为体越来越有能力预测危机将在何时何地发生,将影响谁,以及将产生哪些需求。这些事态发展促成了新形式的预期人道主义反应,有望提高减轻灾害的效力。然而,到目前为止,国际律师对这种新兴的“代码规则”的规范含义一直保持惊人的沉默。为了填补这一空白,本文评估了数据驱动的人道主义应对在其社会背景下对国际法轮廓和实践的影响。预测数据真的能够描绘中立的事实真相,从而消除对人道主义援助分配做出负责任选择的需要吗?律师们是否会沦落到对-à-vis这些正在壮大人道主义机构队伍的数字专家军团卑躬屈膝的地位?更广泛地说,在大危机数据时代,如何思考和执行国际法?
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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