Issue Detection Agent

Learn how the Issue Detection Agent uses AI to automatically find accessibility issues in your website and provide suggestions to fix them.

The Issue Detection Agent combines BrowserStack’s rule engine with AI to identify accessibility issues in your website. By enhancing both the depth of coverage (more checks performed within each criterion) and the breadth of coverage (more WCAG success criteria tested), the agent increases both the scope and precision of accessibility testing, delivering a detailed, accurate assessment of your website’s accessibility.

AI-powered rules

BrowserStack’s Issue Detection Agent enhances the capabilities of the following rules:

• color-contrast: Detects and evaluates color contrast issues in your website, suggesting improvements to ensure compliance with accessibility standards.
• decorative-image: Identifies decorative images that may not have appropriate alt text, ensuring a better experience for screen reader users.
• meaningful-alt-text-ai: Suggests meaningful alt text for images, improving accessibility for users with visual impairments.
• missing-long-alt: Detects images that require long descriptions and suggests appropriate descriptions to enhance understanding.

How the Issue Detection Agent helps

The Issue Detection Agent helps you by:

• Enhancing standard rule-based accessibility checks with AI, improving both accuracy and coverage. The agent enhances:
  • Depth of coverage: Performing more checks within each success criterion. For example, for WCAG 1.4.3 (Contrast (Minimum)), the agent confidently marks borderline cases as violations or passes, reducing false positives and negatives.
  • Breadth of coverage: Expanding the range of WCAG success criteria tested. For example, the agent not only checks whether an image has alternative text (WCAG 1.1.1) but also evaluates if the alternative text is meaningful and contextually appropriate.
• Detecting issues that rule-based checks may miss, such as complex color contrast issues or the meaningfulness of alternative text for images.
• Providing actionable and contextual fix suggestions, reducing the manual effort needed to identify and resolve issues. For example, if an image lacks alternative text, the agent suggests adding a meaningful description based on the image’s context within the website.

How the Issue Detection Agent works

The Issue Detection Agent analyzes your website’s UI components and their properties to identify potential accessibility issues. It leverages AI to understand the context and semantics of each element, allowing it to provide more accurate and relevant suggestions for improvement.

Example

Consider the following example of a color contrast violation:

In this case, the Issue Detection Agent identifies that the color contrast between the text and background does not meet accessibility standards. The agent suggests adjusting the color scheme to ensure sufficient contrast, making the content more readable for users with visual impairments.

Limitations and considerations

• AI-generated suggestions might not always match your website’s design or context. You should review and validate these suggestions, especially for custom components or unique user interactions, before implementing the changes.