In the rapidly evolving landscape of artificial intelligence (AI), the collaboration between human intelligence and AI systems, known as Human-AI (HAI) Teaming, has emerged as a cornerstone for advancing problem-solving and decision-making processes. The advent of Large Pre-trained Models (LPtM) has significantly transformed this landscape, offering unprecedented capabilities by leveraging vast amounts of data to understand and predict complex patterns. This paper surveys the pivotal integration of LPtMs with HAI, emphasizing how these models enhance collaborative intelligence beyond traditional approaches. It examines the potential of LPtMs in augmenting human capabilities, discussing this collaboration for AI model improvements, effective teaming, ethical considerations, and their broad applied implications in various sectors. Through this exploration, the study sheds light on the transformative impact of LPtM-enhanced HAI Teaming, providing insights for future research, policy development, and strategic implementations aimed at harnessing the full potential of this collaboration for research and societal benefit.

翻译：在人工智能（AI）快速发展的背景下，人类智能与AI系统之间的协作——即人机协同（HAI Teaming）——已成为推动问题解决与决策进程的基石。大型预训练模型（LPtM）的出现显著改变了这一格局，其通过利用海量数据来理解和预测复杂模式，提供了前所未有的能力。本文综述了LPtM与HAI的关键性融合，重点探讨了这些模型如何超越传统方法以增强协同智能。研究审视了LPtM在增强人类能力方面的潜力，讨论了这种协作对AI模型改进、有效团队协作、伦理考量以及在多领域广泛应用的影响。通过这一探索，本研究揭示了LPtM增强型HAI协同的变革性影响，为未来研究、政策制定和战略实施提供了见解，旨在充分发挥这种协作在科学研究与社会福祉中的潜力。