For third-party audits, both Google Gemini and ChatGPT present powerful capabilities but also significant challenges. Gemini, with its multimodal understanding, might offer an edge in processing diverse audit evidence, such as financial documents alongside video or audio records, enhancing the review process for complex data types. ChatGPT, particularly its GPT-4 iterations, is often lauded for its strong text generation and reasoning, which is crucial for tasks like contract analysis or drafting audit findings. However, both models share critical limitations concerning data privacy, the potential for hallucination, and the need for rigorous human oversight to ensure accuracy and compliance. Organizations must meticulously vet their chosen LLM's security protocols and establish clear frameworks for verifying AI-generated insights before deployment in sensitive audit environments. Therefore, while promising, neither offers a ready-made, fully autonomous solution for the high-stakes demands of third-party audits without substantial control measures. More details: https://baztrack.com/pixelget/link/pid/46124/hash/d6c3470885f4756bd43a3469ececb57d?url=https://4mama.com.ua/