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 systemsfrom healthcare algorithms to generative modelsreorganize inequality, redistribute risk, and reshape human agency across global contexts.
Contributors trace AIs 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 injusticeespecially 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 responsibilityso that technology serves human flourishing rather than extraction and control.
Part I: Critical Frontiers of AI: Inequality, Health, and Dis/ability.-
Chapter
1. Beyond the Myth of Neutral Machines.
Chapter
2. From Structured
Data to Text Understanding: Machine Learning and Natural Language Processing
for Healthcare Intelligence.
Chapter
3. Measuring and Mitigating Bias and
Discrimination in AI.
Chapter
4. The Gender Data Gap in Medical AI: Causes,
Consequences, and Building Inclusive Solutions.
Chapter
5. Advances in
Machine Learning for Stochastic Transport: A Perspective of Cellular Biology
and Urban Transit Systems.
Chapter
6. Data, Dignity, and Dehumanization: A
Critical Examination of AIs Impact on Disability and Human Experience.-
Chapter
7. Artificial Intelligence and Technocolonialism: Western Ethics,
Morality, and the Absolving of Imperial Violence.
Chapter
8. Humans in the
Loop: Insights from Algorithmic Management on Digital Labour Platforms in
India.
Chapter
9. Algorithmic Exploitation: A Historical Materialist
Critique of AI in the Platform Economy and Health Systems Affecting
Racialized Immigrants in Canada.- Part II: Philosophy, Embodiment, and the
Ontologies of AI.
Chapter
10. Truth and Post-Truth in the Age of AI:
Heidegger among the Chat Bots.
Chapter
11. AI Through a Philosophical Lens.-
Chapter
12. Heidegger and Artificial Intelligence: A Philosophical
Perspective.
Chapter
13. Why Write: Producing the Author in the Time of AI.-
Chapter
14. Liminal Responsibility: Toward an Ethic of Human-AI Relation.-
Part III: Ethics, Governance, and AIs Social Impact.
Chapter
15. If Youre
Not on the Table, Youre on the Menu: Generative AI, Cultural Appropriation,
and the Ethics of Data Use.
Chapter
16. Imagined Stabilities: Indias AI
Policies, Techno-Human Relationships, and Postphenomenological Futures.-
Chapter
17. Promise and Perils of AI: Social and Economic.
Chapter
18. Moral
Consciousness in Artificial Intelligence: Reflections on Its Possibility and
Implications.
Chapter
19. Contours of Social Agency in Technology
Development: Ethics Committees in Governance of AI.
Chapter
20. Examining AI
Market Failure and the Development of Use Cases: An Indian Perspective.-
Chapter
21. AI Through Critical Lenses: Decolonizing Technology and Advancing
Feminist Futures.
Chapter
22. Shaping AI Otherwise: From Critique to
Collective Futures.
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 modeldriven solutions that translate complex data into actionable intelligence, driving measurable impact across clinical care, health system decision-making, and population-level public health surveillance.
