This review highlights advancements in decision models and applications in autonomous driving, suggesting that security issues and biases must be addressed for future technology development.
With the rapid development of large AI models, large decision models have further broken through the limits of human cognition and promoted the innovation of decision‐making paradigms in extensive fields such as medicine and transportation. In this paper, we systematically expound on the intelligent decision‐making technology and prospects driven by large AI models. Specifically, we first review the development of large AI models in recent years. Then, from the perspective of methods, we introduce important theories and technologies of large decision models, such as model architecture and model adaptation. Next, from the perspective of applications, we introduce the cutting‐edge applications of large decision models in various fields, such as autonomous driving and knowledge decision‐making. Finally, we discuss existing challenges, such as security issues, decision bias and hallucination phenomenon as well as future prospects, from both technology development and domain applications. We hope this review paper can help researchers understand the important progress of intelligent decision‐making driven by large AI models.
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He et al. (2025) studied this question.
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