论文标题
AI介导的交换理论
AI-Mediated Exchange Theory
论文作者
论文摘要
正如人工智能（AI）在社会技术系统中扮演着不断扩大的角色，表达人类与AI之间的关系很重要。但是，研究人类关系的学术社区（包括但不限于社会计算，机器学习，科学和技术研究以及其他社会科学）被定义它们的观点所划分。这些观点因关注人类或人工智能，以及在接近主题的微观/宏观镜头中而有所不同。这些差异抑制了发现的整合，从而阻碍了科学和跨学科性。在该立场论文中，我们提出了框架AI介导的交换理论（AI-MET）的发展，以弥合这些鸿沟。作为社会科学中社会交流理论（集合）的扩展，AI-MET将AI视为通过调解机制的分类法影响人与人类关系。我们列出了这些机制的初步思想，并展示了如何使用AI-MET来帮助人类研究社区相互交流。
As Artificial Intelligence (AI) plays an ever-expanding role in sociotechnical systems, it is important to articulate the relationships between humans and AI. However, the scholarly communities studying human-AI relationships -- including but not limited to social computing, machine learning, science and technology studies, and other social sciences -- are divided by the perspectives that define them. These perspectives vary both by their focus on humans or AI, and in the micro/macro lenses through which they approach subjects. These differences inhibit the integration of findings, and thus impede science and interdisciplinarity. In this position paper, we propose the development of a framework AI-Mediated Exchange Theory (AI-MET) to bridge these divides. As an extension to Social Exchange Theory (SET) in the social sciences, AI-MET views AI as influencing human-to-human relationships via a taxonomy of mediation mechanisms. We list initial ideas of these mechanisms, and show how AI-MET can be used to help human-AI research communities speak to one another.
