论文标题
依赖性，数据和非殖民化：协作AI研究中非殖民思维的框架
Dependency, Data and Decolonisation: A Framework for Decolonial Thinking in Collaborative AI Research
论文作者
论文摘要
本文旨在将有关学术界政治经济学的思想联系在一起，即获得生产手段的不平等和赋予数据赋予数据的非统治实践的不平等。为了证明这一点，我将简要分析西方学院的新殖民，提取性实践，介绍围绕非殖民AI实践的概念，然后使用这些概念形成一个调查框架。使用此框架，我简要介绍了乌干达坎帕拉的AIRQO项目的简短案例研究。该项目旨在使用机器学习方法在整个城市部署低成本的空气污染传感器网络，以对参考仪器进行校准，以低较低的成本提供高质量的空气污染数据。
This essay seeks to tie together thoughts on the political economy of academia, the inequities in access to the academic means of production and decolonial practice in data empowerment. To demonstrate this I will provide a brief analysis of the neo-colonial, extractive practices of the Western Academy, introduce concepts around decolonial AI practice and then use these to form an investigative framework. Using this framework, I present a brief case study of the AirQo project in Kampala, Uganda. The project aims to deploy a low-cost air pollution sensor network across the city, using machine learning methods to calibrate these sensors against reference instruments, providing high-quality air pollution data at a far lower cost.
