Publication Type

Journal Article

Version

submittedVersion

Publication Date

7-2025

Abstract

Initiatives to implement AI technologies in organizations fail at an alarming rate. We argue that leading the adoption of AI is not a simple engineering exercise but rather represents a behavioral exercise where change management principles—the process by which organizations plan, implement, and embed changes in practices—are employed. However, many AI initiatives in business focus predominantly on the AI systems themselves, assuming humans will fall in line. To solve this, we integrate ideas from change management with scholarship on human-centered artificial intelligence to offer a behavioral approach that accounts for the impact of AI adoption on humans at all stages of implementation and change management (design, adoption, and management). We argue that this approach is necessary to curtail the staggeringly high failure rate of AI adoption initiatives and ensure the successful long-term integration of AI in organizations.

Keywords

Change management, Cognitive bias, Decision making, Human centered artificial intelligence

Discipline

Human Resources Management | Industrial and Organizational Psychology | Organizational Behavior and Theory | Psychology

Research Areas

Organisational Behaviour and Human Resources

Publication

International Journal of Human-Computer Interaction

First Page

1

Last Page

12

ISSN

1044-7318

Identifier

10.1080/10447318.2025.2531287

Publisher

Taylor and Francis Group

Additional URL

https://doi.org/10.1080/10447318.2025.2531287

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