Browsing by Author "Singh, Dalip"

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    Breaking Barriers: AI Tools for Academic Libraries to Improve Equitable Access to Information Resources for Visually Impaired
    (INFLIBNET Centre Gandhinagar, 2024-09-19) Singh, Dalip
    With the advent of ICT and ease of internet accessibility, academic libraries offer a plethora of information resources such as print, digital, electronic, and web-based formats. However, despite technological advancements, an estimated 2.2 billion visually impaired persons (VIPs) worldwide encounter significant barriers in accessing necessary information for personal, academic, and professional development (WHO, 2023). VIPs require access to information for education, empowerment, and leading dignified lives, like sighted persons. Yet, due to inaccessible formats or prolonged waiting periods for accessible resources, VIPs often face challenges in accessing information promptly and reliably. So, this paper delves into the potential of Artificial Intelligence (AI)-powered Assistive Technology (AT) tools in academic libraries to address this issue by facilitating equitable access to information resources for VIPs. Through an exploration of AI integration benefits, features, and associated challenges, the paper aims to provide insights into leveraging AI-supported AT tools effectively to ensure universal access to information. Specifically, it examines various AI tools such as Be My Eyes, Seeing AI, Envision AI, TapTapSee, and Google Lookout, alongside strategies for their implementation in academic libraries to enhance accessibility for visually impaired users.