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. In this podcast, 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.”
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 postdoctoral 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.
Her recent paper, “Advancing Racial Literacy in Tech,” co-authored with 2018-19 Fellow Mutale Nkonde and 2017-18 Fellow Darakhshan Mir, can be found at http://www.racialliteracy.tech.