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In recent years, artificial intelligence (AI) and machine learning (ML) arereshaping society's production methods and productivity, and also changing theparadigm of scientific research. Among them, the AI language model representedby ChatGPT has made great progress. Such large language models (LLMs) servepeople in the form of AI-generated content (AIGC) and are widely used inconsulting, healthcare, and education. However, it is difficult to guaranteethe authenticity and reliability of AIGC learning data. In addition, there arealso hidden dangers of privacy disclosure in distributed AI training. Moreover,the content generated by LLMs is difficult to identify and trace, and it isdifficult to cross-platform mutual recognition. The above information securityissues in the coming era of AI powered by LLMs will be infinitely amplified andaffect everyone's life. Therefore, we consider empowering LLMs using blockchaintechnology with superior security features to propose a vision for trusted AI.This paper mainly introduces the motivation and technical route of blockchainfor LLM (BC4LLM), including reliable learning corpus, secure training process,and identifiable generated content. Meanwhile, this paper also reviews thepotential applications and future challenges, especially in the frontiercommunication networks field, including network resource allocation, dynamicspectrum sharing, and semantic communication. Based on the above work combinedand the prospect of blockchain and LLMs, it is expected to help the earlyrealization of trusted AI and provide guidance for the academic community.

BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models