Augmenting Machine-Human Intelligence with Human-in-the-Loop

Karina Grosheva ()
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Karina Grosheva: TaQadam

Chapter 24 in Creating Innovation Spaces, 2021, pp 327-333 from Springer

Abstract: Abstract In recent years, the debate on whether artificial intelligence (AI) and intelligent machines will replace humans in the workplace has changed. Instead, augmented intelligence, where human-in-the-loop becomes the integral part of AI deployment in the business processes, has taken over the discussion. Human-machine cross-augmentation is also changing the disciplines of design and innovation. Nature of problems faced by business innovators and designers require humans to transition to roles of data interpreters and insights generators. This chapter describes basic frameworks for human-computer interaction, including the process of creating balanced and enriched datasets for robust AI models’ performance, active learning environment of continuous AI improvement, and the role humans will play at full implementation of digital twins.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-030-57642-4_24

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DOI: 10.1007/978-3-030-57642-4_24

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