The Curb-Cut Effect and the Perils of Accessibility without Disability

By Blake Reid, Published on 01/01/24

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When bioethicist and professor Ashley Shew became a self-described "hard-of-hearing chemobrained amputee with Crohn's disease and tinnitus," there was no returning to "normal." Suddenly well-meaning people called her an "inspiration" while grocery shopping or viewed her as a needy recipient of technological wizardry. Most disabled people don't want what the abled assume they want--nor are they generally asked. Almost everyone will experience disability at some point in their lives, yet the abled persistently frame disability as an individual's problem rather than a social one. In a warm, feisty voice and vibrant prose, Shew shows how we can create better narratives and more accessible futures by drawing from the insights of the cross-disability community. To forge a more equitable world, Shew argues that we must eliminate "technoableism"--the harmful belief that technology is a "solution" for disability; that the disabled simply await being "fixed" by technological wizardry; that making society more accessible and equitable is somehow a lesser priority. This badly needed introduction to disability expertise considers mobility devices, medical infrastructure, neurodivergence, and the crucial relationship between disability and race. The future, Shew points out, is surely disabled--whether through changing climate, new diseases, or even through space travel. It's time we looked closely at how we all think about disability technologies and learn to envision disabilities not as liabilities, but as skill sets enabling all of us to navigate a challenging world.

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The rapid advancement of artificial intelligence (AI) is reshaping assistive technologies, offering new possibilities for enhancing the independence, …

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The influence of artificial intelligence on individuals with disabilities

The rapid advancement of artificial intelligence (AI) is reshaping assistive technologies, offering new possibilities for enhancing the independence, communication and quality of life of individuals with disabilities. This study presents a qualitative scoping review of 47 peer-reviewed articles published between 2018 and 2025, examining how AI has been integrated into assistive tools across domains such as mobility, communication, cognitive support, education and independent living. Specific AI applications include object recognition, gesture-based control, navigation assistance, emotion detection and natural language processing. The review highlights significant progress in personalization and real-time adaptation, while also identifying persistent challenges such as algorithmic bias, cost barriers, data privacy concerns and unequal access, particularly in low-resource settings. Ethical considerations and the need for inclusive, user-centered design approaches are emphasized. The study also underscores future research priorities, including standardization of development protocols, empirical evaluation of long-term effectiveness and policy frameworks to ensure equitable access. By synthesizing recent developments and critical gaps, this review contributes to understanding how AI can responsibly and effectively support assistive technologies, ultimately promoting more inclusive environments for people with disabilities.