ACCEPTED
Human-Centered AI Governance in SMEs

PUBLICATIONS / SCHOLARLY WORK
Dr. Ali Nazem's scholarly work focuses on AI governance, Human–AI decision-making, cognitive augmentation, responsible artificial intelligence, organizational leadership, and applied AI systems.
His research connects theory-building with enterprise and clinical AI applications, with particular emphasis on preserving human judgment, accountability, oversight, and long-term cognitive capability in increasingly intelligent environments.
AI Governance · Cognitive Augmentation · Human–AI Decision-Making · Responsible AI · Healthcare AI
ACCEPTED
Human-Centered AI Governance in SMEs
UNDER EDITORIAL EVALUATION
Cognitive Augmentation in AI Leadership
PEER REVIEW
LipoVena AI Framework
SCHOLARLY CONTRIBUTION
The Keys to the White House — Translation & Analytical Commentary
FEATURED RESEARCH
Nazem, A.
ACCEPTED FOR PUBLICATION
A human-centered socio-technical framework examining organizational readiness for responsible AI adoption in SMEs, integrating strategic AI alignment, decision transparency, human oversight and escalation, risk and compliance monitoring, and organizational AI capability.
Nazem, A.
Journal of Leadership & Organizational Studies
UNDER EDITORIAL EVALUATION
A theory-building research framework examining how sustained interaction with increasingly capable AI systems may influence human reasoning, cognitive effort, learning, independent judgment, and leadership decision capability. The framework distinguishes potential trajectories including cognitive augmentation, substitution, dependency, and cognitive erosion.
Hendesi, F. & Nazem, A.
Phlebology
MANUSCRIPT SUBMITTED FOR PEER REVIEW
A physician-centered Human–AI clinical intelligence framework designed to integrate longitudinal and multimodal clinical information while preserving physician validation, professional judgment, oversight, and final clinical authority.
Nazem, A., Mohammadian, H.D., Najaf Nejad, M.
An interdisciplinary study examining sustainable factors related to attracting SME investment in free-zone environments using the 7PS framework.
BOOKS & SCHOLARLY CONTRIBUTIONS
کلیدهای ورود به کاخ سفید
Original author
Allan J. Lichtman
Contribution
Persian Translator & Analytical Contributor
A Persian translation and analytical contribution examining the book's predictive framework for presidential elections, with particular interest in governance modeling, political forecasting, and structured prediction systems.
FROM PUBLICATIONS TO RESEARCH FRAMEWORKS
Rather than treating individual publications as isolated studies, Dr. Nazem's research programme develops a connected body of work spanning organizational AI governance, Human–AI cognitive interaction, leadership, accountability, and intelligent decision architecture.
AI Governance Readiness Model
Cognitive Augmentation Theory of Leadership
Cognitive Architecture for AI Leadership Model
RESEARCH DOMAINS
01AI Governance
02Human–AI Interaction
03Cognitive Augmentation
04Responsible & Trustworthy AI
05Human–AI Decision-Making
06Computational Cognition
07Healthcare AI
08Physician-in-the-Loop AI
09Enterprise AI
10Organizational Leadership
SCHOLARLY PROFILE
Explore research outputs and academic activity through Dr. Ali Nazem's Google Scholar profile.
VIEW GOOGLE SCHOLAR →RESEARCH · THEORY · APPLICATION
The publication agenda connects conceptual research in AI governance and cognitive augmentation with applied Human–AI systems in organizations and healthcare.