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 synergistic 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——即人机协作——已成为推进问题解决与决策过程的关键基石。大型预训练模型的出现显著改变了这一格局，通过利用海量数据理解和预测复杂模式，提供了前所未有的能力。本文系统梳理了大型预训练模型与人机协作的关键融合，重点阐述这些模型如何超越传统方法增强协作智能。研究探讨了大型预训练模型在增强人类能力方面的协同潜力，论述了这种协作对AI模型改进、高效协作、伦理考量及其在各领域的广泛应用启示。通过这一探索，本研究揭示了大型预训练模型增强的人机协作的变革性影响，为未来研究、政策制定及战略实施提供洞见，旨在充分释放该协作对研究发展与社会的潜在价值。