The Human Factor in Detecting Errors of Large Language Models: A Systematic Literature Review and Future Research Directions

Understand

The launch of ChatGPT by OpenAI in November 2022 marked a pivotal moment for Artificial Intelligence, introducing Large Language Models (LLMs) to the mainstream and setting new records in user adoption.

• LLMs, particularly ChatGPT, trained on extensive internet data, demonstrate remarkable conversational capabilities across various domains, suggesting a significant impact on the workforce.
• However, these models are susceptible to errors - "hallucinations" and omissions, generating incorrect or incomplete information.
• This poses risks especially in contexts where accuracy is crucial, such as legal compliance, medicine or fine-grained process frameworks.