2018-19 Data & Society Fellow Jessie Daniels offers strategies for racial literacy in tech grounded in intellectual understanding, emotional intelligence, and a commitment to take action.
Daniels describes how the biggest barrier to racial literacy in tech is “thinking that race doesn’t matter in tech.” She argues that “without racial literacy in tech, without a specific and conscious effort to address race, we will certainly be recreating a high-tech Jim Crow: a segregated, divided, unequal future, sped-up, spread out, and automated through algorithms, AI, and machine learning.”
Data & Society 2017-2018 Fellow Taeyoon Choi moderates the discussion.
Data & Society’s Fellows Talks is a three-part Databite series showcasing our 2018-2019 fellows cohort. Each talk features 2-3 fellows speaking about their work, wide-ranging interdisciplinary connections, and a few of the provocative questions that have emerged this year.
Jessie Daniels, PhD, is a Professor at Hunter College (Sociology) and at The Graduate Center, CUNY (Africana Studies, Critical Social Psychology, and Sociology). She earned her PhD from the University of Texas-Austin and held a Charles Phelps Taft post-doctoral fellowship at University of Cincinnati. Her main area of interest is in race and digital media technologies; she is an internationally recognized expert on Internet manifestations of racism. Daniels is the author or editor of five books and has bylines at The New York Times, DAME, The Establishment, Entropy, and a regular column at Huffington Post.
Data & Society’s “Databites” speaker series presents timely conversations about the purpose and power of technology, bridging our interdisciplinary research with broader public conversations about the societal implications of data and automation.