人工智能:谁在餐桌旁?

IF 0.6 Q3 COMMUNICATION Communitas Pub Date : 2023-04-27 DOI:10.7202/1098933ar
Elia Rasky
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引用次数: 0

摘要

2017年,加拿大联邦政府启动了“泛加拿大人工智能战略”,这是一项雄心勃勃的计划,旨在使加拿大成为“人工智能的全球领导者”。作为该计划的一部分,政府试图通过赞助一系列人工智能与社会研讨会来激发人们对人工智能伦理和社会影响的讨论。这些研讨会由加拿大高等研究所(CIFAR)主办,汇集了学者、工程师和政策制定者,讨论人工智能对医疗保健、教育、现代工作场所、土著社区和其他领域的影响。CIFAR在其报告中称,人工智能与社会研讨会是一个包容性的、多样化的论坛,允许来自不同学科、职业和种族背景的参与者表达他们对人工智能的看法和担忧。本文调查了人工智能与社会研讨会是否真正具有包容性,或者它们是否将一些参与者的声音和观点置于其他参与者之上。有人会说,通过只邀请“专家”、“思想领袖”和“社区领袖”参加,研讨会系统地将普通人和技术消费者排除在外。这是一个很大的问题,因为普通消费者承担了人工智能进步的许多社会成本。在对研讨会进行了批评后,论文提出了在公共和智力话语中扩大人工智能普通用户声音的方法。
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Workshopping AI: Who’s at the Table?
In 2017, the Canadian federal government launched the “Pan-Canadian Strategy on Artificial Intelligence,” an ambitious plan to make Canada “a global leader in AI.” As part of this plan, the government sought to stimulate discussion about the ethical and societal implications of AI by sponsoring a series of AI & Society workshops. Hosted by the Canadian Institute for Advanced Research (CIFAR), these workshops brought together academics, engineers, and policymakers to discuss the impact of AI on healthcare, education, the modern workplace, Indigenous communities, and other areas. In its reports, CIFAR describes the AI & Society workshops as inclusive, diverse forums that allow actors from a range of different disciplinary, occupational, and ethnic backgrounds to express their opinions and concerns about AI. This paper investigates whether the AI & Society workshops are truly inclusive, or whether they privilege the voices and perspectives of some actors over others. It will be argued that, by inviting only “experts,” “thought leaders,” and “community leaders” to participate, the workshops systematically exclude laypeople and average consumers of technology. This is highly problematic since average consumers bear many of the social costs of advancements in AI. After critiquing the workshops, the paper proposes ways to amplify the voices of regular users of AI in public and intellectual discourse.
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Communitas
Communitas COMMUNICATION-
CiteScore
0.50
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