WEF
World Economic Forum
Artificial Intelligence & Innovation
Dr. Sarah AlHumoud
Artificial Intelligence Executive
Research & Innovation Leader
Strategic Advisor
Dr. Sarah AlHumoud is an AI executive, researcher, and strategic advisor with over two decades of experience translating artificial intelligence into national impact — from leading government digital transformation to advising boards and speaking on global stages. She works at the intersection of applied research, executive strategy, and public leadership to help institutions adopt AI responsibly and effectively.
Executive Portrait — Placeholder
Executive Profile
A comprehensive overview of leadership experience, research contributions, and strategic impact.
Learn morePublic Speaking
Keynotes and panels on AI strategy, innovation, and the future of technology in the region.
Learn moreAI & Technology Consulting
Advisory for organizations building or scaling AI strategy, governance, and adoption.
Learn moreApplied Research Consulting
Guidance for universities and researchers on applied AI research and publication strategy.
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Executive Highlights
Two decades of leadership at the frontier of AI
24+
Years of Experience
15+
Years Executive Leadership
48+
Scientific Publications
100M+
SAR Strategic Projects Led
Chief AI Officer, Wittify
Former Director General, Ministry of Education
MIT CSAIL Postdoctoral Research Fellow
Public Speaking
Selected Speaking Engagements
Keynotes and panels delivered at leading global forums on AI strategy and innovation.
MIT
MIT CSAIL
Responsible AI Adoption at National Scale
G20
G20 Digital Economy Summit
From Strategy to Execution: AI in the Public Sector
Courses
Featured Courses
Applied AI training for executives, researchers, and graduate students.
Executive Program
AI Strategy for Executives
A practical framework for boards and leadership teams to plan and govern AI adoption.
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Graduate Course
Applied Machine Learning Research
A graduate-level course on designing, running, and publishing applied ML research.
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Professional Certificate
Responsible AI & Governance
Frameworks and case studies for deploying AI systems responsibly at scale.
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Research
Selected Papers
A selection of peer-reviewed publications in artificial intelligence and applied research.
Large Language Models for National-Scale Government Services
View PaperResponsible AI Governance Frameworks in the Public Sector
View PaperDeep Learning Approaches to Arabic NLP at Scale
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Blog
Latest Insights
Perspectives on AI strategy, research, and leadership.
Why Most National AI Strategies Fail at Execution
Three structural gaps that separate ambitious AI strategies from measurable outcomes.
Read MoreFrom Lab to Policy: Translating Research into Practice
How applied research can inform better technology policy at national scale.
Read MoreWhat Boards Get Wrong About AI Governance
A practical checklist for executives sponsoring AI initiatives at the board level.
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Get in Touch
Let's start a conversation
For speaking engagements, consulting inquiries, or research collaboration, reach out directly or use the contact form.