Updated: May 25
An Emerging Field of Research
The Machine Leadership Journal is the industry's premier business journal supporting scholarly research in the emerging field of Machine Leadership. This includes The AI Innovation Frontier, the balance between Machine Autonomy versus Trust, and how AI competencies drive adoption. The Journal is focused on research that advances the understanding of AI leadership through frameworks, models, methods, and tools that AI leaders can use to optimize adoption in the Age of AI. The Journal is managed by an Editorial Board. All publications are subject to a robust review process and include DOI registration.
Submission Guidelines
The Machine Leadership Journal is issuing a Call for Papers for its 2025 publication. Proposals should be scholarly, comprehensive, and aligned with the emerging discipline of Machine Leadership. Submissions that include data analysis will require peer review to confirm reproducility and proper citation. The Editorial Board has established four steps for researchers submitting papers to the journal. For selected research, DOI registration, content marketing, and maintenance is handled by Machine Leadership as part of the publication process.
The emerging field of Machine Leadership is new. The Editorial Board does not place constraints on the breadth, depth, or history of the researcher. All submissions will be judged on their merits according to our Editorial guidelines. We encourage AI Research Scientists, Professors of Practice, and AI Industry Leaders to submit proposals.
Guidelines
Step 1: Submit Abstract Proposal
Step 2: Editorial Board Requests Full Proposal from Selected Topics
Step 3: Proposals and Ethical Guidelines Approved
Step 4: Committee Reviews Draft Submissions
Peer review to confirm data quality and reproducibility (if applicable).
Academic Citation and Generative AI Review.
Step 5: DOI Assignment, Publication, and Content Marketing
All researchers are required to sign Machine Leadership's Code of Ethics.
Details regarding the process can be found at: www.machineleadership.com/Journal
For questions, please contact us at: research@machineleadership.com
Topics of Interest
The assigned topic areas are listed below. All proposals should focus on the role of Machine Leadership in driving the use case, solving problems, and/or challenges that will occur in the future as a result of the pace of AI innovation. Our Journal is interested in the role Machine Leadership has on technology innovation and adoption rates in the Age of AI.
A breakdown of noteworthy domains and topic areas relevant to prospective authors.
AI Strategy and Adoption at the Enterprise, National, or Global Level
Integrating AI into the Workforce
Deep Learning
Computer Vision
Transformers, LLMs, and NLP
Robotics and Autonomous Vehicles
Big Data and MLOps
Cyber Security
Data Governance and Privacy
Ethical AI
Building AI skills within K-12
Executive AI Coaches and HR Professionals (HR for AI)
Timeline
Abstract Proposals: Due by July 31, 2025
Full Proposals: August 31, 2025
Proposals and Ethical Guidelines Approved: September 30, 2025
Editorial Review: October through December 2025
DOI Assignment, Publication and Content Marketing: January 2026
Editorial Guidelines
The Machine Leadership Journal maintains robust evaluation criteria. The Editorial Board is seeking scholarly work that is novel, aligned with the topic area, and properly cited.
Research must conform to the Journal's ethical standards and data privacy policy.
For more information on our Editorial Board, please visit: www.machineleadership.com/Editorial-Board
For more information on our Research Guidelines, please visit:
For questions about proposals, please contact us:
Due to the high volume of submissions, only researchers/teams that submit abstracts which are selected for Full Proposal review will be contacted.