Reciprocal Human-AI Collaboration: Designing Configuration and Delegation for Continual Learning

Dov Te’eni ()
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Dov Te’eni: Tel Aviv University

A chapter in The Design of Human-Centered Artificial Intelligence for the Workplace, 2025, pp 183-199 from Springer

Abstract: Abstract Solving problems by human-AI configurations will likely become a pervasive practice. Traditional models of delegating tasks between humans and machines must be revisited in light of the differences in the learning of humans versus intelligent machines; performance can no longer be the sole criterion for task allocation. We propose a new human-AI configuration called a reciprocal human-machine learning (RHML) configuration and offer a new procedure for delegating tasks dynamically that begins with determining the desired level of machine autonomy.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-83512-4_11

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DOI: 10.1007/978-3-031-83512-4_11

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