Using Work System Theory, Facets of Work, and Dimensions of Smartness to Characterize Applications and Impacts of Artificial Intelligence

Abstract

This paper presents an approach for describing and characterizing algorithms that are discussed as though they embody artificial intelligence. After identifying key assumptions related to algorithms and summarizing work system theory (WST), this paper uses a hypothetical example to introduces aspects of WST and two additional ideas, facets of work and dimensions of smartness in devices and systems. Next, it applies those ideas to aspects of five AI-related examples presented by entrepreneurs and researchers at an MIT AI conference in July 2020. Those examples were selected because they illustrated many AIrelated issues. This paper's contribution is a new approach for characterizing real world applications and impacts of almost any system that uses algorithms or is associated with artificial intelligence.