论文标题
“现实世界”中的人工智能：研究AI部署在低资源环境中的影响
AI in the "Real World": Examining the Impact of AI Deployment in Low-Resource Contexts
论文作者
论文摘要
随着AI在全球范围内融合在一起，其在全球南方各地低资源地区的影响的潜力不断发展。来自Microsoft，Google和IBM等科技巨头的AI研究实验室在印度，加纳和南非等国家都有很大的影响力。这些实验室所做的工作通常是由于它可能对当地人群产生的潜在影响而动机，但是这些工具的部署并不总是顺利进行。本文介绍了一项案例研究，研究了位于低资源环境中的大型行业实验室的AI部署，突出了影响意外部署的因素，并反思了全球南方内部的AI部署状态，提供了在AI发展中包含包容性设计方法的建议，这些方法将AI在AI开发中提供了优先级别的AI，而不仅是AS的领先地位，因此将其置于了既定的状态。
As AI becomes integrated throughout the world, its potential for impact within low-resource regions around the Global South have grown. AI research labs from tech giants like Microsoft, Google, and IBM have a significant presence in countries such as India, Ghana, and South Africa. The work done by these labs is often motivated by the potential impact it could have on local populations, but the deployment of these tools has not always gone smoothly. This paper presents a case study examining the deployment of AI by large industry labs situated in low-resource contexts, highlights factors impacting unanticipated deployments, and reflects on the state of AI deployment within the Global South, providing suggestions that embrace inclusive design methodologies within AI development that prioritize the needs of marginalized communities and elevate their status not just as beneficiaries of AI systems but as primary stakeholders.
