Publishing with AI at Work: The Journal of AI, Organizational Change, & Workplace Transformation

eISSN: 3068-6067

doi.org/10.70175/aiatworkjournal.2025

About the Journal: 

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AI at Work: The Journal of AI, Organizational Change, & Workplace Transformation is a multidisciplinary academic publication dedicated to exploring the integration, implementation, and impact of artificial intelligence technologies across organizational environments. Our mission is to examine how AI is reshaping work processes, organizational structures, leadership approaches, and employee experiences while providing evidence-based insights for successful AI-driven transformation.

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The journal publishes rigorously peer-reviewed articles, case studies, and practical frameworks that showcase:

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• Empirical and theoretical research investigating AI implementation and its multifaceted effects on organizational dynamics, work design, and human-machine collaboration

• Evidence-based strategies for managing technological change, addressing workforce transitions, and cultivating AI-ready organizational cultures

• Innovative scholarship that synthesizes perspectives from organizational psychology, computer science, business management, ethics, and social sciences to inform responsible AI adoption

We prioritize work that critically examines how AI technologies—machine learning, natural language processing, computer vision, robotics, and intelligent automation—are transforming workplaces while highlighting approaches that balance technological advancement with human-centered values. Our aim is to provide a publishing space that bridges technical and organizational dimensions of AI integration to promote ethical, equitable, and effective workplace transformation.

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Through interdisciplinary dialogue, AI at Work amplifies scholarship that helps organizations navigate the complexities of technological change while supporting workforce adaptation, organizational learning, and sustainable innovation. We welcome submissions from researchers, practitioners, technologists, and organizational leaders across private, public, and nonprofit sectors.

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The journal provides a forum for the rapid dissemination of rigorously peer-reviewed research on AI adoption patterns, change management frameworks, governance models, and emerging workplace practices. AI at Work prioritizes work that addresses critical questions about the future of work, skill development, organizational redesign, and ethical implications of intelligent technologies.

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By examining AI as both a technical and social phenomenon, AI at Work contributes to more nuanced understanding of how organizations can harness AI's potential while mitigating risks. The journal welcomes diverse methodological approaches that illuminate successful implementation strategies, organizational readiness factors, and best practices for technology-enabled workplace transformation.

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Editorial Team (and core areas of expertise) - Updates in Progress

(send inquiries and other correspondence to masteryjournal@innovativehumancapital.com)

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• Jonathan H. Westover (Ph.D., University of Utah), Editor-in-Chief - Associate Dean and Director of HR Academic Programs (HR, Change Management, Leadership, Social Impact, Service-Learning, Impact Assessment, Social Change, Quantitative/Qualitative Methods) ​​​​