Human-AI collaborative decision-making as an organization design problem

Phanish Puranam

The promise of collaboration between humans and algorithms in producing good decisions is stimulating much experimentation. Drawing on research in organization design can help us to approach this experimentation systematically. I propose typologies for considering different forms of division of labor between human and algorithm as well as the learning configurations they are arranged in, as basic building blocks for this endeavor.

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Year of publication:	2021
Authors:	Puranam, Phanish
Published in:	Journal of organization design : JOD. - [Cham] : Springer International Publishing, ISSN 2245-408X, ZDB-ID 2799265-2. - Vol. 10.2021, 2, p. 75-81
Subject:	AI \| Organization design \| Machine learning \| Learning configurations \| Division of labor
Description of contents:	Description [doi.org]

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Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.1007/s41469-021-00095-2 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012597663