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Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

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AI and disability: A systematic scoping review.

Christo El Morr¹, Bushra Kundi², Fariah Mobeen¹

¹School of Health Policy and Management, York University, Toronto, ON, Canada.

Health Informatics Journal

|September 17, 2024

Summary

This summary is machine-generated.

Artificial intelligence (AI) offers benefits for people with disabilities but risks perpetuating bias. Future AI development must prioritize inclusivity and accessibility for equitable societal benefit.

Keywords:

artificial intelligence critical disabilities equity informatics health policy machine learning people with disabilities

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Area of Science:

Assistive Technology
Human-Computer Interaction
Disability Studies

Background:

Artificial intelligence (AI) presents both opportunities and challenges for individuals with disabilities.
Understanding the intersection of AI and disability is crucial for equitable technological advancement.

Purpose of the Study:

To investigate the relationship between AI and disability.
To explore the potential benefits and challenges of AI for people with disabilities.

Main Methods:

A systematic scoping review of 45 scholarly articles published within the last five years.
Thematic analysis of selected literature from eight online databases.

Main Results:

AI demonstrates potential to improve healthcare outcomes for individuals with disabilities.
AI research frequently adopts a narrow medical model and ableist perspective, risking bias and discrimination.
Concerns exist regarding the perpetuation of biases in AI development and deployment.

Conclusions:

A shift towards a social model of disability is recommended for AI research and development.
Prioritizing accessibility, usability, privacy, and security in AI is essential.
Interdisciplinary collaboration, education, and policy frameworks are needed to ensure equitable AI benefits.