An Investigation into Black and Brown Communities’ Engagement with Data & Technology

Abstract

Over the years, we have witnessed significant biases in datasets and AI-driven systems. While these biases can impact anyone, there is a heightened risk for disproportionate harm to Black and Brown communities. Despite efforts to address these inequities, a critical gap remains in understanding how Black and Brown communities perceive and interact with data-centric innovations. In this paper, we present findings from a survey of 60 technology users with diverse racial, ethnic, and gender identities. Our findings reveal that while Black and Brown users may frequently contribute data through social media and research participation, discomfort arises when data is used without explicit consent, particularly by for-profit organizations. Transparency, trust, and familiarity with data collection entities and outcomes emerged as key factors influencing engagement. These insights inform our ongoing efforts, as well as the development of ethical, inclusive approaches to data-driven innovation that center marginalized voices and foster equitable outcomes.