Plain language is crucial for making content accessible to people with disabilities. However, the reliance on artificial intelligence (AI) for translating text into plain language poses significant risks. Testing various AI models revealed that they often misinterpret and alter meanings, leading to confusion and inaccessibility. For instance, using generative AI, such as a fictional model “BobAI,” can yield simplified text that fails to capture essential ideas or misrepresents the source material. This oversight compromises the quality of plain language, causing misinformation, especially for vulnerable populations. Moreover, generative AI often perpetuates discrimination, reflecting biases ingrained in its training data. Maintaining the integrity of plain language writing requires human expertise, especially from disabled individuals who genuinely understand the nuances of accessibility. Instead of using generative AI, writers should focus on cooperative efforts with disabled people while utilizing supportive tools like readability checkers. Prioritizing authentic voices ensures that plain language remains effective and inclusive.
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