What problem might arise with automated tags in documents?

Automated tags in documents can significantly streamline the tagging process, but one major concern is that they may not always get the tagging right. Automated tagging systems rely on algorithms that may misinterpret the context or content of the document, leading to inaccuracies in how data is categorized and presented. For instance, jargon, idiomatic expressions, or complex formatting can be misunderstood by the automation tools, resulting in tags that do not accurately represent the content. As a result, this can not only hinder accessibility but may also confuse users who rely on those tags to navigate the document effectively.

While automated tags can have benefits, such as enhancing user engagement or reducing processing time for documents, these aspects do not address the potential for errors in tagging accuracy itself. Therefore, understanding the limitations of automation is crucial in ensuring documents are truly accessible and appropriately categorized.