Leveraging AI to Enhance Employment Opportunities for People with Disabilities
Artificial Intelligence (AI) has emerged as a powerful tool to enhance employment opportunities for people with disabilities, enabling them to participate more effectively in the workforce. This paper explores the potential of AI to break down traditional employment barriers and create a more inclusive workplace. By leveraging advanced technologies such as speech recognition, natural language processing, and computer vision, AI can provide personalized job matching, adaptive work environments, and assistive tools tailored to individual needs. One of the key benefits of AI is its ability to facilitate accessible communication. Speech-to-text and text-to-speech technologies enable individuals with hearing or speech impairments to communicate more efficiently, while image recognition tools assist those with visual impairments by interpreting visual data [2]. AI-powered recruitment platforms can also eliminate biases by focusing on skills and qualifications rather than physical limitations, ensuring a fairer hiring process [5]. AI also promotes remote work opportunities, which can be particularly beneficial for people with mobility challenges. Virtual collaboration tools powered by AI allow seamless communication and teamwork, reducing the need for physical office spaces. Despite the significant potential of AI to empower people with disabilities, challenges such as high costs, privacy concerns, and the digital divide must be addressed [6]. This paper emphasizes the importance of inclusive design and collaboration among policymakers, organizations, and technology developers to ensure that AI solutions are accessible and affordable for everyone. By harnessing the power of AI, society can create a more inclusive workforce where people with disabilities can thrive and contribute meaningfully.
Institutions
- Government Ayurvedic College and Hospital (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-30
- DOI
- https://doi.org/10.5281/zenodo.15709818
- Primary Topic
- Technology Use by Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 0.00