AI in the End Zone: Scoring Big for Accessibility

Shakara Lawrence

College

College of Education & Professional Studies (Darden)

Department

Special Education

Graduate Level

Certificate

Graduate Program/Concentration

Visual Impairment

Presentation Type

Oral Presentation

Abstract

This research investigates the transformative potential of Artificial Intelligence (AI) in enhancing accessibility for individuals with disabilities. The study begins by examining the multifaceted barriers faced by individuals with disabilities across digital, physical, and social domains. Building upon this foundation, the research delves into the application of AI-powered tools such as screen readers, voice recognition, and automated translation in breaking down these barriers.

The research analyzes real-world case studies and success stories demonstrating the impact of AI on inclusivity, with a particular focus on educational settings. Furthermore, the study critically examines the ethical considerations and potential biases inherent in AI-driven accessibility solutions, emphasizing the importance of equitable access for all users.

The research methodology includes a combination of literature review, case study analysis, and hands-on experimentation with AI tools and platforms. The findings of this research will contribute to a deeper understanding of the role of AI in advancing accessibility and provide valuable insights for researchers, educators, and policymakers in developing and implementing inclusive solutions.

This research aims to contribute to the growing body of knowledge on AI and accessibility, ultimately fostering a more inclusive and equitable society for all

Keywords

Artificial intelligence, Accessibility, Special education, Assistive technology, Visual impairment

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AI in the End Zone: Scoring Big for Accessibility

This research investigates the transformative potential of Artificial Intelligence (AI) in enhancing accessibility for individuals with disabilities. The study begins by examining the multifaceted barriers faced by individuals with disabilities across digital, physical, and social domains. Building upon this foundation, the research delves into the application of AI-powered tools such as screen readers, voice recognition, and automated translation in breaking down these barriers.

The research analyzes real-world case studies and success stories demonstrating the impact of AI on inclusivity, with a particular focus on educational settings. Furthermore, the study critically examines the ethical considerations and potential biases inherent in AI-driven accessibility solutions, emphasizing the importance of equitable access for all users.

The research methodology includes a combination of literature review, case study analysis, and hands-on experimentation with AI tools and platforms. The findings of this research will contribute to a deeper understanding of the role of AI in advancing accessibility and provide valuable insights for researchers, educators, and policymakers in developing and implementing inclusive solutions.

This research aims to contribute to the growing body of knowledge on AI and accessibility, ultimately fostering a more inclusive and equitable society for all