Good quality alt text should answer a seemingly simple question: What information or purpose would someone miss if they couldn’t see this image? But despite its importance to people using assistive technologies, alt text can be seen as an afterthought or checkbox on an accessibility compliance checklist. Even when well-intentioned, often alt text can be too vague, too detailed, or meaningless. So what can libraries do to improve their accessibility remediation?
The latest post in our AI Tools for Academic Libraries blog series looks at three AI models being tested as part of the Accessible Content ePortal Remediation project and their potential for reducing the amount of manual labour needed for accessibility remediation.
Read the full post: AI Tools for Academic Libraries: AI-Generated Alt Text
AI Tools for Academic Libraries is part of the OCUL AI and Machine Learning Initiative. The blog series is a collaboration between OCUL and Choice, a publishing unit of the Association of College and Research Libraries, and is hosted on Choice's LibTech Insights content channel that examines the day-to-day impact of library and education tech on academic librarians.