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, an Associate Professor at the University of Illinois, dives into her book, exploring the dark roots of data practices in big tech. She argues that these practices are not neutral; instead, they echo historical eugenics, harming marginalized communities today. Chan highlights community-led initiatives that challenge these oppressive systems. With a focus on the intersection of AI, governance, and equity, she presents a call for awareness and a hopeful outlook for a more just technological future.

Anita Say Chan, an Associate Professor at the University of Illinois, dives into her book exploring the unsettling ties between historical eugenics and today's tech landscape. She discusses how big data practices reflect biases from the past, impacting marginalized communities. Chan critiques STEM education's neglect of these legacies and advocates for alternative data practices that empower vulnerable groups. She also highlights historical activism that reshaped research norms, urging us to confront and reshape our relationship with technology and surveillance.