Special Session 3
Ethical AI in Education and Responsible Research
Frameworks, Governance, and Trustworthy AI for Knowledge-Driven Institutions
Artificial Intelligence is transforming education through tutoring systems,
automated assessment, learning analytics, and generative technologies.
While these innovations enhance access and personalization, they also raise
concerns regarding privacy, bias, transparency, and accountability.
This session focuses on advancing ethical AI practices, responsible research, and governance frameworks to ensure AI systems in education remain reliable, transparent, and human-centred.
This session focuses on advancing ethical AI practices, responsible research, and governance frameworks to ensure AI systems in education remain reliable, transparent, and human-centred.
Rationale & Motivation
The rapid adoption of generative AI and large language models has outpaced
institutional policies and safeguards. This gap highlights the need for
structured ethical frameworks and governance mechanisms.
This session provides a platform to explore interdisciplinary approaches that support trustworthy AI adoption across education and knowledge-driven institutions.
This session provides a platform to explore interdisciplinary approaches that support trustworthy AI adoption across education and knowledge-driven institutions.
Scope & Topics of Interest
1 — Ethical AI in Education
Ethical-by-design AI systems
Fairness and inclusive learning technologies
Bias detection and mitigation
Explainable AI in education
Human oversight models
Responsible use of generative AI
Academic integrity and authorship
Protection of vulnerable learners
Privacy-preserving analytics
AI ethics in curriculum
2 — Responsible AI Research
Ethical evaluation frameworks
Responsible dataset practices
Data consent and anonymization
Risk and impact assessment
Auditing AI systems
Trustworthy AI metrics
Reproducibility standards
Interdisciplinary methods
Participatory design approaches
Expected Impact
Development of practical ethical AI frameworks
Responsible adoption of generative AI technologies
Improved evaluation methods for trustworthy AI
Strengthened governance and collaboration
Submission & Publication
Submission Requirements
- Original and unpublished work in English
- 10–15 pages using Springer format
- Similarity score below 15%
- AI-generated content below 20%
- No concurrent submissions
- Compliance with Springer policies
Publication
- Published in Springer CCIS
- Indexed in Scopus
- Full peer review process
- Presentation required for inclusion
- Subject to publisher guidelines
🔗 Submit your papers electronically via the EDAS portal, under the track entitled "SS3-Ethical AI in Education and Responsible Research"
EDAS
Session Format
The session includes approximately six presentations followed by discussion.
- 10-minute presentation
- 3–5 minutes discussion
Total duration: approximately 90–120 minutes.
Types of Papers Accepted
- Research Papers
- Case Studies
- Conceptual / Framework Papers
- System / Application Papers
- Evaluation Papers
- Policy / Governance Papers
Deadline
Submission Deadline
30 April 2026
If you require visa letters, accessibility accommodations, or special session guidance, mention it in your email for faster routing.
Session Organizer
Organizer
Dr. Musab Al Rawi
ICESCO Chair for AI Ethics
University of Technology and Applied Sciences (UTAS)
Sultanate of Oman
University of Technology and Applied Sciences (UTAS)
Sultanate of Oman
Brief Bio
Dr. Musab Alrawi is a researcher in artificial intelligence, robotics, and computer engineering with a strong focus on AI ethics and human-centered innovation. He currently serves as Director of the ICESCO Research Chair for AI Ethics at the University of Technology and Applied Sciences (UTAS), Oman.
His work spans AI governance, embedded systems, and biomedical applications, and he has held academic and research positions in multiple countries including Malaysia, Turkey, and Kazakhstan.
Dr. Musab Alrawi is a researcher in artificial intelligence, robotics, and computer engineering with a strong focus on AI ethics and human-centered innovation. He currently serves as Director of the ICESCO Research Chair for AI Ethics at the University of Technology and Applied Sciences (UTAS), Oman.
His work spans AI governance, embedded systems, and biomedical applications, and he has held academic and research positions in multiple countries including Malaysia, Turkey, and Kazakhstan.
Person to Contact
For inquiries regarding this special session, please contact:
Dr. Musab Al Rawi
University of Technology and Applied Sciences (UTAS), Sultanate of Oman
musab.alrawi@utas.edu.om
