Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination

Organizations cannot address demographic disparities that they cannot see. Recent research on machine learning and fairness has emphasized that awareness of sensitive attributes, such as race and sex, is critical to the development of interventions. However, on the ground, the existence of these data cannot be taken for granted. This paper uses the domains of employment, credit, and healthcare in the United States to surface conditions that have shaped the availability of sensitive attribute data. For each domain, we describe how and when private companies collect or infer sensitive attribute data for antidiscrimination purposes. An inconsistent story emerges: Some companies are required by law to collect sensitive attribute data, while others are prohibited from doing so. Still others, in the absence of legal mandates, have determined that collection and imputation of these data are appropriate to address disparities. This story has important implications for fairness research and its future applications. If companies that mediate access to life opportunities are unable or hesitant to collect or infer sensitive attribute data, then proposed techniques to detect and mitigate bias in machine learning models might never be implemented outside the lab. We conclude that today's legal requirements and corporate practices, while highly inconsistent across domains, offer lessons for how to approach the collection and inference of sensitive data in appropriate circumstances. We urge stakeholders, including machine learning practitioners, to actively help chart a path forward that takes both policy goals and technical needs into account

Contesting the financialization of urban space: Community organizations and the struggle to preserve affordable rental housing in New York City

As cities have become both site and object of capital accumulation in a neoliberal political economy, the challenges to community practice aimed at creating, preserving, and improving affordable housing and neighborhoods have grown. Financial markets and actors are increasingly central to the workings of capitalism, transforming the meaning and significance of mortgage capital in local communities and redrawing the relationship between housing and urban inequality. This article addresses the integration of housing and financial markets through the case of "predatory equity," a wave of aggressive private equity investment in New York City's affordable rental sector during the mid-2000s real estate boom. I consider the potential for community organizations to develop innovative, effective, and progressive practices to contest the impact of predatory equity on affordable housing. Highlighting how organizations employed discursive and empirical tactics as well as tactics that reworked the sites, spaces, and structures of finance, this research speaks to the political possibility of contemporary community practice

HDB Annual Report 95/96

p.130; bibl.; ill; 22 cm