Purpose
To establish institutional standards for the use of automated document remediation technologies in support of scalable accessibility improvements.
Scope
These standards applies to:
- Public-facing web documents
- Academic instructional materials
- Administrative and operational PDFs
- Archived digital documents under active publication
Automated Remediation Framework
The university utilizes automated document accessibility tools (e.g., Adobe-based and cloud processing workflows) to:
- Perform OCR on scanned documents
- Apply structural tagging
- Identify common accessibility issues
- Improve baseline document compliance at scale
Limitations of Automation
Automated tools:
- Cannot fully evaluate contextual meaning
- Cannot guarantee WCAG 2.1 AA conformance
- May not correctly assign semantic structure in complex documents
- May require manual review for accuracy
Therefore:
Automated remediation does not constitute certification of accessibility.
Manual Validation Requirements
Manual review and remediation are required for:
- Documents supporting high-impact public services
- Documents tied to accommodation letters
- Legal, financial, or compliance-related materials
- Complex instructional content
- Documents identified as high-risk during automated scanning
Manual validation may include:
- Tag structure correction
- Reading order verification
- Alternative text refinement
- Form field labeling
- Table header correction
- Color contrast review
If you encounter difficulty accessing any document, please contact the EIRAC for assistance. Accessible versions will be provided upon request.