Artificial Intelligence and Machine Learning Improving the Livelihood of Individuals with Disabilities in Various Capacities

Authors

• Daveon Lilly, 18th Judicial District

Document Type

Student Note

Abstract

Artificial Intelligence (“AI”) and Machine Learning (“ML”) are swiftly reshaping accessibility for individuals with disabilities, offering fresh opportunities for inclusion in education, the workplace, and daily life. This Note explores the integration of AI and ML into assistive technologies and discusses how this integration bolsters access and independence for people with various disabilities. It also examines the legal frameworks, including the Americans with Disabilities Act (“ADA”) and the Rehabilitation Act of 1973 (“Rehabilitation Act”), that govern the implementation of these technologies and address challenges such as algorithmic bias, data privacy, and the digital divide. While AI and ML have made significant strides in enhancing accessibility, they also bring forth ethical and legal concerns that must be addressed to avoid exacerbating inequalities. This Note proposes critical policy recommendations to fortify legal protections, mitigate bias, ensure transparency, and promote the development of inclusive AI systems. By focusing on current applications and future potential, the Note underscores the pivotal role AI and ML can play in fostering a more equitable society for individuals with disabilities, emphasizing the importance of ongoing legal and ethical oversight.

Recommended Citation

Daveon Lilly, Artificial Intelligence and Machine Learning Improving the Livelihood of Individuals with Disabilities in Various Capacities, 128 W. Va. L. Rev. 1113 ().
Available at: https://researchrepository.wvu.edu/wvlr/vol128/iss3/9