Anita Say Chan

Anita Say Chan, an Associate Professor at the University of Illinois, dives deep into the connection between eugenics and today's big tech, highlighting how past discriminatory practices impact current data collection and surveillance. She discusses the historical roots of data profiling and its discriminatory effects on marginalized groups. The conversation also touches on Hull House's influence on labor rights and the limitations of AI in capturing the richness of human communication. Chan emphasizes the need for alternative data practices rooted in social justice.

Anita Say Chan, a scholar focused on feminist and decolonial tech, joins Timnit Gebru, founder of DARE and advocate for AI equity, and philosopher Émile P. Torres. They explore the disturbing ties between past eugenics and today's big data practices. The guests emphasize the dangers of technogenics, highlighting the need for ethical awareness and community solidarity in confronting data inequities. They advocate for reimagining technology narratives to prioritize social justice and inclusivity, promoting a future where marginalized voices shape the conversation.

In this engaging discussion, Anita Say Chan, a feminist and decolonial scholar, dives into the complex intersections of big data and eugenics. She highlights the historical roots of data practices that echo harmful ideologies, urging a shift to community-centered approaches. Anita critiques tech billionaires' alignment with oppressive agendas while advocating for justice-driven alternatives. She also emphasizes the limitations of statistics in capturing individual dignity, promoting empathy over data in our quest for a more inclusive society.