Center for Spatial Studies

The ubiquity of algorithmic tools and services (ATS) in spatial data science has led to increased concerns about the biases they carry. This vision paper explores the biases inherent in ATS, encompassing computational, statistical, human, and systemic biases, and those compounded by multinational corporations. It underscores the imperative to address these biases, advocating a narrative-based approach to counteract them and promote equitable outcomes. This approach not only heightens awareness of embedded biases but also charts a course toward their mitigation.