Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency

arXiv:2402.15561v1 Announce Type: new
Abstract: Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and inaccessible for evaluation or modification by researchers and practitioners, limiting their accountability and ethical design. Moreover, predictive models are often opaque and incomprehensible to the officials who use them, reducing their trust and utility. Furthermore, predictive models may introduce or exacerbate bias and inequity, as they have done in many sectors of …

abstract accountability analytics arxiv cs.cy cs.lg decision design domains education equity ethical evaluation fair making multivariate predictive predictive analytics predictive models proprietary regression researchers transparency type