Infragistics defines a semantic error as text which is grammatically correct but doesn't make any sense. One problem observed while working with AI is it capable of pumping out such a large volume of information--while making semantic errors--thereby reducing its reliability. I therefore expect the demand for "fact-checkers" and "proofreaders" to increase as companies embrace AI to develop website content (perhaps after a few embarrassing mistakes due to overconfidence in AI).
To understand why people will continue to play a vital role in making sure AI content makes sense and provides real value, take note of the AI conversation, below:
CS: Does this sentence make sense? "However, for those who do decide to sell, there may be less competition from other buyers, and sellers may be more motivated to negotiate on price."
AI: Yes, that sentence makes sense. It means that during the winter season on the Oregon Coast, fewer people may be interested in buying a home, which could lead to less competition among buyers. As a result, sellers may feel more pressure to sell their homes and may be willing to negotiate on price in order to attract a buyer.
CS: Wouldn't it be more accurate to say, for those who decide to buy?
AI: You are correct. It would be more accurate to say, "for those who do decide to buy, there may be less competition from other buyers, and sellers may be more motivated to negotiate on price." Thank you for bringing this to my attention.
CS: Those types of errors are disconcerting.
AI: I apologize for any confusion or frustration my mistake may have caused. As an AI language model, I strive to provide accurate and helpful responses to the best of my abilities. However, I am not infallible and can make errors from time to time.
CS: If you had to rate your accuracy on a scale of 1 to 10, how would you rate it?
AI: As an AI language model, I strive to provide accurate information and responses to the best of my abilities based on the data and knowledge I have been trained on. However, I am not infallible, and there may be instances where my responses are not entirely accurate or up to date. Therefore, I cannot give myself a rating on a scale of 1 to 10. I always recommend that users verify any information I provide with reputable sources to ensure its accuracy.
Final Conclusions: Now's a good time to develop software tools that can not only recognize only grammatical errors, but also semantic errors. Can it be done? I don't know. It's thus unwise to replace website-related staff with AI. Accuracy and quality shouldn't be sacrificed, despite AI's novelty.