Gonzalez Cleotilde, Admoni Henny, Brown Scott, Woolley Anita Williams
Social and Decision Sciences Department, Carnegie Mellon University.
Robotics Institute, Carnegie Mellon University.
Top Cogn Sci. 2025 Apr;17(2):180-188. doi: 10.1111/tops.12673. Epub 2023 Jun 18.
In recent years, we have experienced rapid development of advanced technology, machine learning, and artificial intelligence (AI), intended to interact with and augment the abilities of humans in practically every area of life. With the rapid growth of new capabilities, such as those enabled by generative AI (e.g., ChatGPT), AI is increasingly at the center of human communication and collaboration, resulting in a growing recognition of the need to understand how humans and AI can integrate their inputs in collaborative teams. However, there are many unanswered questions regarding how human-AI collective intelligence will emerge and what the barriers might be. Truly integrated collaboration between humans and intelligent agents may result in a different way of working that looks nothing like what we know now, and it is important to keep the essential goal of human societal well-being and prosperity a priority. In this special issue, we begin to scope out the underpinnings of a socio-cognitive architecture for Collective HUman-MAchine INtelligence (COHUMAIN), which is the study of the capability of an integrated human and machine (i.e., intelligent technology) system to achieve goals in a wide range of environments. This topic consists of nine papers including a description of the conceptual foundation for a socio-cognitive architecture for COHUMAIN, empirical tests of some aspects of this architecture, research on proposed representations of intelligent agents that can jointly interact with humans, empirical tests of human-human and human-machine interactions, and philosophical and ethical issues to consider as we develop these systems.
近年来，我们见证了先进技术、机器学习和人工智能（AI）的快速发展，其旨在与人类在几乎生活的各个领域进行交互并增强人类的能力。随着诸如生成式AI（例如ChatGPT）所带来的新能力的迅速增长，AI日益成为人类交流与协作的核心，这使得人们越来越认识到有必要了解人类和AI如何在协作团队中整合各自的输入。然而，关于人类与AI的集体智能将如何出现以及可能存在哪些障碍，仍有许多问题尚未得到解答。人类与智能体之间真正的整合协作可能会带来一种截然不同的工作方式，与我们现在所熟知的方式毫无相似之处，并且将人类社会福祉和繁荣的基本目标置于首位至关重要。在本期特刊中，我们开始探讨集体人机智能（COHUMAIN）社会认知架构的基础，这是对人类与机器（即智能技术）集成系统在广泛环境中实现目标能力的研究。本主题由九篇论文组成，包括对COHUMAIN社会认知架构概念基础的描述、对该架构某些方面的实证测试、对能够与人类联合交互的智能体提议表示的研究、对人际和人机交互的实证测试，以及在我们开发这些系统时需要考虑的哲学和伦理问题。
