Evaluating Safety Measures in GPT-5.1-CodexMax: An AI Ethics Review
Introduction to GPT-5.1-CodexMax Safety Framework As artificial intelligence systems become more advanced, ensuring their safe operation remains a critical challenge. GPT-5.1-CodexMax represents a recent development in language models designed to assist with complex coding tasks. This review examines the safety measures implemented in this system, focusing on both the underlying model and the product environment, with an emphasis on ethical considerations and decision quality. Model-Level Safety Mitigations The core of GPT-5.1-CodexMax’s safety lies in its model-level mitigations. These include specialized training techniques aimed at reducing the risk of harmful outputs. The model undergoes targeted safety training to handle tasks that may involve potentially dangerous or sensitive content. Additionally, it is designed to resist prompt injections—manipulative inputs intended to bypass safety protocols. These measures work together to maintain the integrity of the model’s re...