Enhancing Source Credibility in AI Research

This chapter delves into the crucial role of accurate source attribution in AI-driven writing and research, highlighting scientists' concerns over the credibility of large language models. It introduces AI tools like SciSpace, Elicit, and SciRider, which aim to improve research efficiency and accuracy while mitigating misinformation risks. Additionally, the chapter emphasizes the importance of critical thinking and traceability in academic work, illustrating these points with real-world implications for global health outcomes.

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