Lisa Nakamura in Digital Racial Formations and Networked Images of the Body (2007) traces the development of color-blindness with the rise of the Internet in 1990’s. Globally available Internet technology promoted neoliberal economy and ignored the color line as irrelevant. This approach facilitated “digital inequality” (3) across racial lines. That algorithm, digital tools and search engines, and AI are not neutral and objective is no more a contestable claim. OpenAI and other AI portals prioritize their profit over the concerns about social justice and equity in representation. Safiya Umoja Noble in her Algorithms of Oppression : How Search Engines Reinforce Racism (2018) describes digital racial profiling as “technological redlining” (1). She highlights “algorithmic oppression” against the people of color and women who are systematically racialized and sexualized in the digital world (3). Racism in everyday life is a problem; but it culminates into something serious when AI configured surveillance systems enable racism against people of color in the US. More recently Ruha Benjamin in Race After Technology: Abolitionist Tools for the New Jim Code (2019) argues that the claim of technology being neutral “ignores how race also functions like a tool, structuring whose literal voice gets embodied in AI” (29). This seminar invites papers to investigate the problem of race in the age of AI with special focus on the human rights of Asian American subjects and rise of “data empire” (Risam 2026). Please email ([email protected]) a 250-words abstract specifying your primary/secondary resources, theoretical approach and methodology of your research.