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Updated: Feb 24, 2026

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

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AI-Driven Assistive Technology: The Disability Justice Imperative.

Bushra Kundi¹, Sarah Taleghani², Rachel da Silveira Gorman²

¹McMaster University.

Studies in Health Technology and Informatics

|February 23, 2026

Summary

This summary is machine-generated.

Artificial Intelligence (AI) offers transformative assistive technologies for people with disabilities. Centering disability justice and community collaboration is crucial for equitable AI development and true empowerment.

Keywords:

AI Bias AI Governance Accessibility Barriers Artificial Intelligence (AI)Assistive Technologies Bias Collaborative Design Convention on the Rights of Persons with Disabilities (CRPD)Disability Justice Empowerment Equity and Inclusion Ethics Health Informatics Lived Experiences Machine Learning (ML)Persons with Disabilities Social Inclusion Technological Aids User-Centered Design

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Area of Science:

Health Informatics
Assistive Technology
Artificial Intelligence

Background:

Artificial Intelligence (AI) is revolutionizing assistive technologies for individuals with disabilities.
Existing technologies present both opportunities and challenges in promoting equity and inclusion.

Purpose of the Study:

To discuss the role of AI in developing assistive technological aids.
To examine the potential and limitations of AI-powered assistive technologies through a disability justice lens.
To advocate for centering the lived experiences of persons with disabilities in AI development.

Main Methods:

Analysis guided by the "nothing about us without us" principle.
Examination of AI's transformative potential and limitations.
Identification of challenges using a disability justice framework.

Main Results:

AI holds significant promise for enhancing communication, mobility, and quality of life for persons with disabilities.
Development must prioritize collaborative design and the perspectives of the disability community.
Addressing ethical concerns, biases, and accessibility barriers is essential for equitable AI.

Conclusions:

AI-driven technologies can be powerful agents of empowerment and inclusion.
A disability justice approach is vital for harnessing AI's full potential in accessibility.
Collaborative development ensures AI truly serves the needs of persons with disabilities.