Are you assuming that AI in this case is some form of generative AI? I would not ask chatgpt if a mushroom is poisonous. But I would consider using a convolutional neural net based plant identification software. At that point you are depending on the quality of the training data set for the CNN and the rigor put into validating the trained model, which is at least somewhat comparable to depending on a plant identification book to be sufficiently accurate/thorough, vs depending on the accuracy of a story that genAI makes up based on reddit threads, which is a much less advisable venture
The books on Amazon are vomited out of chat GPT. If there’s a university-curated and trained image recognition AI, that’s more likely to be reliable provided the input has been properly vetted and sanitized.
Are you assuming that AI in this case is some form of generative AI? I would not ask chatgpt if a mushroom is poisonous. But I would consider using a convolutional neural net based plant identification software. At that point you are depending on the quality of the training data set for the CNN and the rigor put into validating the trained model, which is at least somewhat comparable to depending on a plant identification book to be sufficiently accurate/thorough, vs depending on the accuracy of a story that genAI makes up based on reddit threads, which is a much less advisable venture
The books on Amazon are vomited out of chat GPT. If there’s a university-curated and trained image recognition AI, that’s more likely to be reliable provided the input has been properly vetted and sanitized.