In the higher education, digital accessibility and diversity, equity, and inclusion (DEI) are essential components of a genuinely inclusive academic environment. Artificial intelligence (AI) and machine translation technologies represents a transformative step forward in achieving these goals. The potential of AI to enhance digital accessibility and promote DEI is a compelling argument for its adoption across higher education institutions. At the heart of digital accessibility is the principle that all students, regardless of their physical or cognitive abilities, geographical location, or language proficiency, should have equal access to educational resources and opportunities. AI can play a pivotal role in dismantling the barriers that hinder this access. For instance, AI-powered web accessibility tools can automatically adjust text sizes and contrast levels and provide alternative text for images, catering to the needs of students with visual impairments. Moreover, speech recognition and synthesis technologies can support students with dyslexia or other reading difficulties, turning text into speech and vice versa, thus making digital content more accessible. Machine translation technologies stand to revolutionize the way language is approached in higher education. The premise that instruction must be confined to English, or any single language, needs to be updated in our globalized world. AI-driven machine translation can offer real-time, accurate translation of lectures, reading materials, and even student discussions, breaking down language barriers within the academic community. This capability not only aids non-English speakers but also enriches the learning experience by fostering a multicultural and multilingual environment. Beyond individual accommodations, AI and machine translation serve as powerful tools for advancing DEI initiatives. By providing personalized learning experiences and accommodating diverse learning styles and needs, AI can help create a more equitable educational landscape.

Presenter: Pam Doran, SUNY Empire University 

This webinar is a part of the Access for All Webinar Series. 

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