对“I”的关注:对移民和庇护管理中人工智能工具的关键评估。

IF 4.3 2区 社会学 Q1 DEMOGRAPHY
Comparative Migration Studies Pub Date : 2022-01-01 Epub Date: 2022-08-03 DOI:10.1186/s40878-022-00305-0
Lucia Nalbandian
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引用次数: 8

摘要

人工智能的前景最初是让技术为人们服务,利用强大的信息处理器和“智能”算法快速执行耗时的数据分析。但很快人们就意识到,人工智能收集和分析大数据的能力在监控政策中特别有用。在更广泛的移民和庇护管理领域,越来越复杂的人工智能工具已被用于登记和管理弱势群体,而不太关心所收集数据的潜在滥用以及这些行动的整体道德和法律基础。本文考察了三个恰当的案例。第一个案件调查的是联合国难民事务高级专员决定部署一个生物识别匹配引擎,该引擎采用人工智能,使难民和寻求庇护者以及与他们互动的国家和组织更容易获取身份证件。第二个案例关注的是新西兰政府引入人工智能来改善边境安全和简化移民程序。第三个案例着眼于美国政府用于追踪(并最终驱逐)无证移民的数据采集和生物识别工具。文章首先展示了各国和国际组织如何越来越多地转向使用人工智能工具来支持其移民政策和计划的实施。随后,文章还概述了即使是出于善意的努力,使用人工智能工具来提高效率和支持移民或庇护管理政策和计划的实施的决定往往涉及危害或完全牺牲个人的人权,包括隐私和安全,并引发了对脆弱性和透明度的担忧。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An eye for an 'I:' a critical assessment of artificial intelligence tools in migration and asylum management.

An eye for an 'I:' a critical assessment of artificial intelligence tools in migration and asylum management.

An eye for an 'I:' a critical assessment of artificial intelligence tools in migration and asylum management.

An eye for an 'I:' a critical assessment of artificial intelligence tools in migration and asylum management.

The promise of artificial intelligence has been originally to put technology at the service of people utilizing powerful information processors and 'smart' algorithms to quickly perform time-consuming data analysis. It soon though became apparent that the capacity of artificial intelligence to scrape and analyze big data would be particularly useful in surveillance policies. In the wider areas of migration and asylum management, increasingly sophisticated artificial intelligence tools have been used to register and manage vulnerable populations without much concern about the potential misuses of the data collected and the overall ethical and legal underpinnings of these operations. This article examines three cases in point. The first case investigates the United Nations High Commissioner for Refugees' decision to deploy a biometric matching engine engaging artificial intelligence to make accessing identification documents easier for both refugees and asylum seekers and the states and organizations they interact with. The second case focuses on the New Zealand government's introduction of artificial intelligence to improve border security and streamline immigration. The third case looks at data scraping and biometric recognition tools implemented by the United States government to track (and eventually deport) undocumented migrants. The article first shows how states and international organizations are increasingly turning to artificial intelligence tools to support the implementation of their immigration policies and programs. Subsequently, the article also outlines how even despite well-intentioned efforts, the decision to use artificial intelligence tools to increase efficiency and support the implementation of migration or asylum management policies and programs often involves jeopardizing or altogether sacrificing individuals' human rights, including privacy and security, and raises concerns about vulnerability and transparency.

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来源期刊
Comparative Migration Studies
Comparative Migration Studies Social Sciences-Law
CiteScore
6.60
自引率
8.60%
发文量
47
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