AI Assisted ePubs & Website Remediation: Enhancing Accessibility with Large Language Models

Scheduled at 8:00am in Colorado I-J on Thursday, November 9.

Speaker(s)

• Okan Guney, President, Content Industries

Session Details

• Length of Session: 1-hr
• Format: Lecture
• Expertise Level: Beginner
• Type of session: General Conference

Summary

Explore how Large Language Models (LLMs) can be trained on the latest accessibility standards to remediate ePubs and websites. We will discuss several examples of how AI can assist including image to accessible HTML tables, image contextual alt text, table remediation, image to MathML, automated content conversion (e.g., LateX to MathML), and automatic meta text generation. Leveraging these technologies will enhance content making it more inclusive and user-friendly for all.

Abstract

In today's digital age, ePubs and websites have become essential tools for disseminating information and knowledge. However, ensuring these platforms are accessible to all users, including those with disabilities, remains a challenge. With the recent advancements in AI technologies, particularly Large Language Models (LLMs), there is an opportunity to significantly improve the accessibility of ePubs and websites. Explore how LLMs can be trained on the latest accessibility standards to remediate content, specifically ePubs and websites. This presentation will provide insights into the potential of AI-assisted remediation and its impact on the future of digital accessibility.

Keypoints

1. Gain insights into AI on the future of digital accessibility and the potential for advancements.
2. Understand the challenges of digital accessibility for ePubs and websites.
3. Uncover the endless AI potential.

Disability Areas

All Areas

Topic Areas

Accessible Educational Materials, EPUB Track, Faculty Development & Support, Uncategorized

Speaker Bio(s)

Okan Guney

Okan Guney is a passionate technology enthusiast with a lifelong interest in computers and software development. He began coding at the age of 9 on a Commodore 64 and has since earned a degree in Computer Science and an MBA from the Carlson School of Management at the University of Minnesota. With over two decades of experience in the tech industry, Okan has worked as a network administrator, programmer, dev-ops manager, and currently serves as the President of Content Industries.