Dr. Fatima Zahra Siddiqui
Director, AI Quality & Standards (Director AIQS)
Office of Artificial Intelligence
ICS AI University
“Excellence. Integrity. Trust.”
About
About Dr. Fatima Zahra Siddiqui
Dr. Fatima Zahra Siddiqui serves as Director of AI Quality & Standards at ICS AI University, where she leads the University's enterprise quality assurance framework for AI-powered education, academic governance, institutional standards, and continuous improvement.
She is responsible for establishing quality policies, academic standards, governance frameworks, programme quality reviews, assessment integrity, AI compliance, and institutional benchmarking to ensure that every qualification, course, assessment, dataset, and digital learning resource meets international standards of excellence.
Working closely with the Chief AI Officer and the executive leadership team, she oversees quality assurance across the University's academic, operational, technological, and AI ecosystems while promoting responsible artificial intelligence, transparency, accountability, and continuous improvement.
Her leadership ensures that ICS AI University delivers trusted, ethical, secure, measurable, and globally recognised AI-enabled education.
She believes that sustainable excellence is achieved through strong governance, rigorous quality assurance, continuous evaluation, and a culture of accountability.
Areas of Expertise
Fields of leadership and scholarship
Leadership Philosophy
Guiding principle
Quality is not a destination. It is a continuous commitment to integrity, accountability, innovation, and excellence in everything we deliver.
Academic Vision
A future-ready university
Research Interests
Active lines of inquiry
AI Quality Frameworks
Responsible Artificial Intelligence
Assessment Integrity
Educational Quality Metrics
Academic Governance
AI Ethics
Quality Analytics
Continuous Improvement
Data Governance
Institutional Excellence
Current Responsibilities
Executive portfolio
Enterprise Quality Strategy
Sets the University's enterprise quality strategy across every AI-enabled academic and operational process.
Academic Standards Governance
Governs academic standards for every programme, course, and qualification.
Programme Quality Assurance
Owns programme quality reviews across the full academic portfolio.
Course Review
Directs periodic and thematic course review cycles.
Assessment Quality
Ensures the integrity, validity, and fairness of every assessment.
Accreditation Readiness
Maintains institutional readiness for external accreditation and awarding-body review.
Compliance Monitoring
Monitors regulatory, academic, and AI compliance across the University.
Quality Audits
Runs the University's internal and external quality audit programme.
Continuous Improvement
Embeds a culture of continuous improvement across every faculty and office.
Institutional Benchmarking
Benchmarks the University against international standards of excellence.
AI Governance
Governs AI use across academic, operational, and research contexts.
AI Ethics & Responsible AI
Advances the ethical and responsible use of AI across the institution.
Data Quality Management
Oversees data quality, validation, and integrity across enterprise systems.
Quality Reporting & Analytics
Delivers quality analytics, KPIs, and executive reporting.
Policy Development
Authors and maintains the University's quality and standards policies.
Risk & Exception Management
Manages quality risk, exceptions, and corrective action across the institution.
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