This volume challenges the dominant narrative of artificial intelligence as a neutral, inevitable force, showing instead how AI is a political project shaped by power, labor, and history. Bridging technical, philosophical, and sociological perspectives, it examines how AI systems—from healthcare algorithms to generative models—reorganize inequality, redistribute risk, and reshape human agency across global contexts.

Contributors trace AI’s lived consequences through lenses including health equity, disability justice, and technocolonialism, alongside sustained inquiry into knowledge, embodiment, and responsibility. The book critiques the “technological fix,” arguing that treating social problems as engineering puzzles can deepen structural injustice—especially when governance frameworks prioritize efficiency over equity and procedural compliance over justice.

Moving beyond critique to praxis, this collection invites readers to reclaim agency in the algorithmic age. It offers critical orientations for building AI grounded in care, democratic contestation, and collective responsibility—so that technology serves human flourishing rather than extraction and control.

Dr. Christo El Morr, PhD, is Professor of Health Informatics and Director of the Centre for Feminist Research at York University, Toronto. His Equity Informatics research spans equity AI, patient-centered virtual care, mental health, global health promotion, and disability rights monitoring. He is also a theologian, poet and a novelist.

Dr. Anoop George, PhD, is an Associate Professor at the Indian Institute of Technology Palakkad. His research expertise lies in continental philosophy, phenomenology, existentialism, and philosophy of technology, with a particular focus on Heideggerian perspectives on the human condition.

Dr. Vijay Mago, PhD is an Associate Professor at York University, Toronto whose work sits at the intersection of computer science, medical informatics, and health informatics. He develops AI- and large-scale natural language model–driven solutions that translate complex data into actionable intelligence, driving measurable impact across clinical care, health system decision-making, and population-level public health surveillance.