 Dr. Christo El Morr and Dr. Yahya El-Lahib co-edited with their colleague Dr. Rachel Gorman a new book titled "Beyond Tex Fixes: Towards an AI Future where Disability Justice Thrives" covering of the interplay between AI and disability (Springer, 2005). The book is expected to be avaiable soon. "This book offers a bold and critical examination of the intersections between artificial intelligence (AI) and disability justice. Rather than framing AI as a neutral or purely beneficial tool, the book interrogates how AI systems reproduce ableism, deepen systemic exclusions, and perpetuate colonial, neoliberal, and corporate power structures. It challenges the prevailing reliance on "tech fixes"—improving datasets or tweaking algorithms—and instead insists on addressing the deeper social, political, and ethical dimensions of AI development and deployment. Through a disability justice lens, it highlights the complex realities faced by disabled communities and emphasizes the need for approaches that dismantle ableism rather than superficially enhance accessibility. Covering topics such as algorithmic bias, data colonialism, technoableism, and the militarization of AI, this book foregrounds critical frameworks including design justice, data sovereignty, and participatory governance. It draws on diversescholarly perspectives and activist insights to propose actionable pathways toward more accountable, equitable, and inclusive AI futures. By centering disabled people’s experiences and knowledge, the book offers not only critique but also visionary strategies for transforming AI systems to serve justice rather than entrench oppression."
Dr. Abdulmotaleb El Siddik, CLAF member, head of the 𝐌𝐮𝐥𝐭𝐢𝐦𝐞𝐝𝐢𝐚 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐋𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫𝐲 (𝐌𝐂𝐑𝐋𝐚𝐛), University of Ottawa, signed a strategic agreement, with the Indian Institute of Technology, Ropar ANNAM.AI lab. The agreement was executed by Prof. Abdulmotaleb El Saddik from MCR Lab and Prof. Pushpendra P. Singh, Project Director of ANNAM.AI in the presence of Prof. Mukesh K. Saini, Project Lead - Digital Twin, ANNAM.AI, along with their respective teams. "This strategic partnership will focus on applying AI, machine learning, and simulation techniques to create accurate, actionable digital twins of crops to improve crop management, yield prediction, and overall sustainability in agriculture. The collaboration will also cover Knowledge sharing, capacity building, and Joint research publications," said Dr. El-Siddik on linkedin.  |
CLAFCanadian Lebanese Arab Federation Archives
April 2025
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