Shadow in the Machine: Protect Yourself from AI's Hidden Threats

Josefina Mijares is a technology policy researcher and writer specializing in the societal impacts of artificial intelligence, algorithmic governance, and digital privacy. She holds a master's degree in information policy from the Harvard Kennedy School, where her research focused on bias auditing frameworks for high-stakes AI systems and the regulatory challenges posed by opaque machine learning models.

She has worked as a policy analyst at the Electronic Frontier Foundation, where she contributed to amicus briefs and public comments on biometric surveillance, automated decision-making, and algorithmic accountability legislation. Her writing has appeared in *Wired*, *The Atlantic*, *MIT Technology Review*, and *Slate*, covering topics ranging from predictive policing and hiring algorithms to the political economy of generative AI. She has testified before state legislatures on proposed AI transparency bills and served as a technical consultant for documentary films examining the social consequences of automated systems.

Mijares is the founder of the Algorithmic Literacy Project, an educational initiative that produces free curricula and workshops for community organizations, libraries, and journalism schools. She lives in Oakland, California, with her partner and two cats, none of whom consent to being tracked.