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Augmented Artificial Intelligence

In: Artificial Intelligence for Industries of the Future

Author

Listed:
  • Mayank Kejriwal

    (University of Southern California, Information Sciences Institute, Ste 1001)

Abstract

Within the AI research community, there continues to be a focus on greater and more complete automation of difficult problems in application areas such as Computer Vision and Natural Language Processing. However, within industry, there is a greater focus on “augmented” AI. As the name suggests, augmented AI is used to refer to a set of AI-based technologies that are designed to augment, rather than replace, the capabilities of human beings. The difference is more pragmatic than fundamental; in practice, many of the same technologies being developed by researchers are deployed in enterprise as augmented AI. At the same time, we would be hard pressed to ignore the very real ramifications that such technologies have on the workforce and on worker morale. This chapter is an attempt to describe the phenomenon of augmented AI from a business lens. We discuss key features and example applications of augmented AI, using radiology as an illustrative case study. Next, drawing on an influential survey by McKinsey, we discuss trends in organizational behavior and workforce changes that are on the horizon. Of particular interest is a new way of working, and a new type of job called a “new collar” job. The chapter also discusses adaptation that will be required in the C-suite as a consequence of these changes and draws on examples from three industrial sectors.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-19039-1_4
DOI: 10.1007/978-3-031-19039-1_4
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