AI for a Just World

Name: AI for a Just World
Brand: CRC Press
SKU: 9781041236979
Price: 14982.0 INR
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by Christo El Morr , Rachel Da Silveira Gorman , Elham Dolatabadi

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ISBN13: 9781041236979
Binding: Hardcover
Subject: N/A
Publisher: CRC Press
Publisher Imprint: CRC Press
Publication Date: July 12, 2026
Pages: 360
Original Price: GBP 120.0
Language: English
Edition: N/A
Item Weight: 844 grams
BISAC Subject(s): Artificial Intelligence / Expert Systems

About The Book

This book examines how contemporary artificial intelligence systems are reshaping social, political, and economic life with unequal consequences. Bringing together critical scholarship from across disciplines, it investigates how AI redistributes power, produces new forms of exclusion, and reconfigures longstanding structures of inequality.

About The Author

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.

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