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      AI-Mediated Exchange Theory

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          Abstract

          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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          Author and article information

          Journal
          04 March 2020
          Article
          2003.02093
          1162b223-b9ca-4795-a9ba-1f142fdc33f7

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          For workshop "Human-Centered Approaches to Fair and Responsible AI"
          cs.HC cs.AI

          Artificial intelligence,Human-computer-interaction
          Artificial intelligence, Human-computer-interaction

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