AI & Management · 2021
Artificial Intelligence and Management: The Automation–Augmentation Paradox
Sebastian Raisch, Sebastian Krakowski
Academy of Management Review
The research approach
Uses paradox theory to critically examine automation and augmentation concepts, taking recent business books about artificial intelligence as a starting point.
What the research finds
Automation and augmentation are interdependent over time; concentrating excessively on either can reinforce harmful cycles, while addressing both may create organizational and societal benefits.
Why it matters for management
Encourages discussion of how leaders design human and machine responsibilities while managing competing demands for efficiency, learning and participation.
Scope & limitations
This theoretical argument does not test a specific AI deployment or estimate the performance impact of a particular balance between automation and augmentation.
