Automated Accessibility Remediation for Enterprise Content
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Solution Overview
Problem
Current content management systems lack a holistic approach to ensure accessibility across the entire content life cycle, leading to manual and costly remediation processes, especially for documents with complex structures and multiple formats, which are often inaccessible to individuals with disabilities.
Innovation Solution
A processor-implemented method and system that dynamically remediates inaccessible content by extracting features, validating accessibility, and converting content into accessible formats, using AI-driven automation to address accessibility issues at the origin of content creation, including structured and unstructured formats from various sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual remediation is used to make documents accessible, then accessibility can be achieved, but labor and cost increase significantly
Solution Approach 1:
The system performs accessibility remediation actions automatically during the document generation process itself, before the document is finalized and distributed. This preliminary action approach ensures accessibility is built-in rather than added later through manual remediation, significantly reducing the time and labor required while maintaining reliable accessibility compliance.
2Reliability
If reactive accessibility remediation is implemented, then existing documents can be made accessible, but accessibility cannot be ensured for newly generated content
Solution Approach 1:
The system integrates accessibility remediation into the content generation process itself, performing accessibility actions automatically when content is created. This ensures that all newly generated content is accessible by default, eliminating the need for separate reactive remediation processes and maintaining high productivity without compromising accessibility.
3Difficulty of detecting and measuring
If automated accessibility detection is used, then accessibility issues can be identified, but accurate remediation remains challenging
Solution Approach 1:
The system implements a feedback mechanism where accessibility detection results are automatically fed back into the content generation process. The system analyzes detected accessibility issues and automatically adjusts the generated content to resolve these issues, ensuring high remediation accuracy while maintaining efficient automated detection capabilities.
4Reliability
If accessibility is added as an afterthought, then existing content can be remediated, but the process becomes complex and time-consuming
Solution Approach 1:
The system performs accessibility remediation actions automatically during the document generation process itself, before the document is finalized and distributed. This preliminary action approach ensures accessibility is built-in rather than added later through manual remediation, significantly reducing the time and labor required while maintaining reliable accessibility compliance.
Data Source
AI summary
In today's world, knowledge dissemination through online versions of novels or textbooks i.e., in portable document format, in which the entire life cycle in content generation has a huge gap forcing organizations to spend lots of efforts to introduce accessibility. This disclosure relates a method and system to create accessible enterprise content by design. The method receives one or more content as an input from various sources. One or more features associated with each of one or more content is extracted. The content is validated to identify one or more content is accessible or inaccessible based on one or more features. Each inaccessible content is dynamically remediated based on accessibility attributes to obtain one or more accessible content. The one or more accessible content is converted into one or more desired accessible formats based on one or more classes and a logical reading order of one or more content.