Data & Society (404) Job Not Found: The AI Literacy Trap at Work | Databite No. 164
In her new report (404) Job Not Found: What Workforce Training Can’t Fix for Black Atlantans in the Age of AI, Data & Society researcher Anuli Akanegbu provides the first ethnographic examination of how AI-related skills are defined, taught, and valued across Atlanta’s growing tech economy. Drawing on interviews, field observations, and historical analysis, she traces how AI literacy is promoted by industry, implemented by government, and interpreted by workers and community leaders navigating an increasingly AI-driven workforce infrastructure.
On February 17, Akanegbu, TechEquity Senior Vice President of Labor Programs Tim Newman, and Bard Computer Science Professor Annabel Rothschild held a critical conversation on the policy stakes of AI-focused workforce development at the state and national level. This conversation was Informed by Akanegbu’s report and an accompanying policy brief co-authored by D&S Policy Manager Serena Oduro, who moderated this conversation, panelists discussed how government and industry priorities shape workers’ access to opportunity and how policy can address the real-world impacts of automation and AI on workers.