科马恩:构建人类机器集体智能的社会认知架构
Cleotilde Gonzalez1, Henny Admoni2, Scott Brown3
1Social and Decision Sciences Department, Carnegie Mellon University.
Topics in cognitive science
|June 18, 2023
概括
这项研究介绍了集体人机智能 (COHUMAIN),探索人类和人工智能 (AI) 如何有效合作. 它为理解集成的人类-人工智能系统奠定了基础,以确保社会福祉.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 认知科学 认知科学
- 社会学 社会学 社会学
背景情况:
- 人工智能的快速发展,包括生成性人工智能,需要理解人类-人工智能协作.
- 目前对人类-AI集体智能和潜在障碍的理解是有限的.
- 人工智能融入通信和协作突出了需要新的框架.
研究的目的:
- 为集体人机智能 (COHUMAIN) 提供社会认知架构的基础.
- 调查综合人机系统实现目标的能力.
- 在AI系统的开发中优先考虑人类社会福祉和繁荣.
主要方法:
- 为 COHUMAIN 开发一个概念性的社会认知架构.
- 对拟议建筑的各个方面进行实证测试.
- 研究智能代理人对联合人与人工智能交互的表征.
- 人与人,人与机器交互的实证测试.
- 对哲学和伦理方面的考虑进行分析.
主要成果:
- 已经概述了COHUMAIN社会认知架构的基本概念.
- 初步的实证测试提供了对集成的人类-人工智能系统运作的洞察.
- 研究探讨了智能代理人在协作环境中的有效表示.
- 人与人,人与机器的交互动态被经验性地检查.
结论:
- 该研究为理解和发展集体人机智能 (COHUMAIN) 建立了一个框架.
- 需要进一步的研究来解决人类-人工智能合作的复杂性和潜在障碍.
- 必须考虑道德和社会影响,以确保人工智能发展有利于人类.
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