AI-Mediated Exchange Theory

Workshop paper

Xiao Ma, Taylor W. Brown



APA   Click to copy
Ma, X., & Brown, T. W. AI-Mediated Exchange Theory.

Chicago/Turabian   Click to copy
Ma, Xiao, and Taylor W. Brown. AI-Mediated Exchange Theory, n.d.

MLA   Click to copy
Ma, Xiao, and Taylor W. Brown. AI-Mediated Exchange Theory.

BibTeX   Click to copy

  title = {AI-Mediated Exchange Theory},
  author = {Ma, Xiao and Brown, Taylor W.}

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.



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