Artificial Intelligence (AI) platforms, while revolutionizing research, come with notable limitations that researchers should heed. Many AI tools, such as ChatGPT, Elicit, and Consensus, struggle with contextual understanding, emotional intelligence, and the interpretation of visual data, primarily working with textual inputs. This limitation often leads to inaccurate or misleading outcomes, as these tools cannot grasp the nuances that shape research findings. Additionally, AI platforms may fabricate information, lacking reliable citations and validation. For instance, platforms like Gemini have been known to generate false references, undermining the integrity of academic work. Researchers must independently verify any outcomes produced by AI to avoid incorporating unverified data into their studies. Despite their advancements, AI tools cannot replace human creativity or critical thinking. Therefore, a cautious approach is essential when integrating AI-generated data into research, as these platforms can inadvertently mislead without rigorous verification.
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