1st Edition

AI for a Just World Power, Liberation, and the People Left Behind

360 Pages 12 B/W Illustrations
by Chapman & Hall

360 Pages 12 B/W Illustrations
by Chapman & Hall

AI for a Just World: Power, Liberation, and the People Left Behind examines how contemporary artificial intelligence (AI) systems are reshaping social, political, and economic life and how prevailing narratives of neutrality and efficiency obscure their unequal consequences. Bringing together critical scholarship from across disciplines, this book investigates how AI redistributes power,... Read more

Part I: AI, Equity, and Health Justice

Chapter 1. Artificial Intelligence and the Pursuit of Equity: A Scoping Review of Benefits, Harms, and Gaps

Prateeksha Pathak, Nicole Zhang, Ayissha Pavakopethan, Amir Bayat, and Christo El Morr

Chapter 2. Beyond White Skin: The Need for Equitable AI in Healthcare

Janise Peters

Chapter 3. What the AI Doesn’t See: On Fairness Proxies in Medical AI

Elizabeth U. Thompson, Courtney C. Rogers, Krystal A. Porter, Julia Scialla, and Rupa S. Valdez

Chapter 4. Aligning AI for Health Equity: Successes, Gaps, and Barriers in the Canadian Healthcare System

Jenna Cappello, Christo El Morr, and Elham Dolatabadi

Chapter 5. Benchmarking Bias: Expanding Clinical AI Model Card to Incorporate Bias Reporting of Social and Non-Social Factors

Shahram Mohanna, Carolina A. M. Heming, Mohamed Abdalla, Monish Ahluwalia, Linglin Zhang, Hari Trivedi, MinJae Woo, InChan Hwang, Benjamin Fine, Judy Wawira Gichoya, Leo Anthony Celi, and Laleh Seyyed-Kalantari

Chapter 6. Responsible Foundation Models for Healthcare: Risks, Opportunities, and Pathways to Responsibility

Laleh Seyyed-Kalantari, Mojtaba Kolahdouzi, Arash Asgari, Hassan Hamidi, Amirreza Naziri, Artur Parkhimchyk, Seyyed Matin Tavakoli Afshari, Huan Wu, Salamata Konate, and Shahram Mohanna

Chapter 7. Evaluating AI Safety, Hallucinations, Psychosis and Bias Using Clinical Simulations

Elizabeth Marie Borycki and Andre William Kushniruk

Chapter 8. Addressing Structural Bias in AI-Driven Healthcare: From Technical Fixes to Equity-by-Design

Mehdi Adda

 

Part II: Disability, Education, and Techno-Ableism

Chapter 9. Disability-centered Policy Opportunities and Challenges for Accessible and Inclusive AI: A Scoping Review

Christo El Morr, Sabine Fernandes, Damanjot Singh, Vaibhav Sawhney, Rachel Gorman, and Yahya El-Lahib

Chapter 10. Rethinking Artificial Intelligence for Sickle Cell Disease – A Bounded Justice and Disability Justice Approach

Vanessa Ferguson

Chapter 11. Beyond ‘Technoableism’: AI, Ableism, and Accommodations in Postsecondary/STEM Education

Sammy Jo Johnson, Yoonmee Han, Nolan Krahn, and Maverick Smith

Chapter 12. AI, Technoableism, and Computing Education: Assessing Conceptual Entry Points

Melanie Baljko

Chapter 13. Artificial Intelligence, Social Media, and People with Disabilities: A Critical Review

Hannah Bullock, Naleni Jacob, and Christo El Morr

Chapter 14. Epistemic Injustice and Disability-Evasiveness

Ryan B. Collis, Ellouise Van Berkel, Katherine Barron, and Aaron Richmond

 

Part III: AI in Society: Gender, Labor, and Relations

Chapter 15. Misogyny by Design: The Manosphere, AI, and Technology-Facilitated Gender-Based Violence

Sonia D’Angelo

Chapter 16. Intimate Inequities: Examining the Benefits and Risks of AI in Online Dating for Marginalized Populations

Christopher Dietzel

Chapter 17. AI and Social Reproduction: Social Structures of Dominance and Control

Shruti Raji-Kalyanaraman

 

Part IV: Governance, Power, and Bias in AI Systems

Chapter 18. No More Radical Ethical Uncertainty: GenAI and Higher Education within Structures of Capital

Gabi Schaffzin and Jessica Vorstermans

Chapter 19. A Cognitive Usability Engineering Approach to Understanding Bias in Human-AI Interaction

Andre William Kushniruk and Elizabeth Marie Borycki

Chapter 20. Toward a Leftist Artificial Intelligence for Geopolitical Analysis: Reconsidering the Technical and Conceptual Aporias in the Development of Radically Equitable Artificial Agents

Fouâd Oveisy

Chapter 21. Algorithmic Border Securitization: The Datafied Migrant at the Canada-U.S. Border

Mina Mir and Andrea Lachmansingh

Chapter 22. Disablement by Algorithm: AI as a Modern Tool of Settler-Colonial Violence in Palestine

Amanie Issa and Christo El Morr

 

Part V: Decolonial and Philosophical Critiques of AI

Chapter 23. Unsettling Realities of AI Equity: Colonial Modernity in Action

Maimuna S. Khan and Yahya El-Lahib

Chapter 24. Deconstructing AI’s Religious Code: From Colonial Conquest to Unconditional Hospitality for Indigenous Relational Epistemologies

Michael G. Sherbert

Chapter 25. Digital Beings or Mere Tools? Animist and Posthumanist Approaches to AI Companion Rights

Kathleen Cherrington

Chapter 26. The Use of AI in the Palestinian Genocide: A Marxist Analysis

Jude Kadri

Chapter 27. AI and Equity: Thinking About the Modern Identity and the Uncanny “There”

Anoop George

Chapter 28. Beyond the Algorithm—Toward a Just and Liberatory Future

Christo El Morr, Elham Dolatabadi, Laleh Seyyed‑Kalantari and Rachel da Silveira Gorman

Biography

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 novelist.

Rachel da Silveira Gorman, PhD, is Professor and Director of the Graduate Program in Critical Disability Studies at York University. Gorman’s current projects focus on codesign and community-based AI applications; biochemical and cellular mechanisms of health inequity; social movement learning in the context of AI and data justice; and metabolizing collective fear through poetry.

Elham Dolatabadi, PhD, is an Assistant Professor and Tier-2 Connected Minds York Research Chair in Safe AI for Health Equity at York University, and a faculty affiliate at the Vector Institute. Her contributions to date have advanced the design of AI systems that collaborate with humans in high-stakes health decision-making through agentic designs, multimodal representations, reasoning, orchestration mechanisms, and novel evaluation frameworks.

Laleh Seyyed-Kalantari, PhD, is an Assistant Professor at York University’s Lassonde School of Engineering and a faculty affiliate at the Vector Institute. She leads the ResponsibleAI Lab, focusing on AI safety, bias, and interpretability, using generative and foundation models to promote equitable, culturally aware AI across health and societal domains.