Academic Research Collaboration
Join our research network to advance responsible AI through collaborative studies, shared insights, and joint publications
Advancing AI Research Together
The TrustGenAI Research Centre welcomes collaboration with academic institutions worldwide. Our RAID-T framework provides a robust foundation for joint research projects, PhD collaborations, and cross-institutional studies in responsible AI governance.
Collaboration Opportunities
Joint Research Projects
Partner on funded research exploring new applications of the RAID-T framework
- Co-authored publications
- Shared datasets and resources
- Cross-validation studies
- Framework extensions
PhD Collaboration
Co-supervision and research exchange programs for doctoral students
- Co-supervision arrangements
- Research visits and exchanges
- Shared methodology development
- Joint workshops and seminars
Framework Validation
Contribute to validating and extending RAID-T across new domains
- Domain-specific testing
- Cultural adaptation studies
- Regulatory alignment research
- Benchmark development
International Networks
Join our growing network of responsible AI research institutions
- Annual symposiums
- Working groups
- Policy consultations
- Best practice sharing
Active Research Areas
Cross-Cultural AI Governance
Examining how RAID-T principles apply across different cultural and regulatory contexts
Multimodal AI Assessment
Extending RAID-T to evaluate AI systems processing text, image, and audio inputs
Healthcare AI Standards
Developing international standards for responsible AI in clinical settings
Sustainable AI Metrics
Incorporating environmental impact into the RAID-T evaluation framework
How to Collaborate
Initial Contact
Submit collaboration proposal outlining research interests and objectives
- Research area alignment
- Institutional capabilities
- Proposed outcomes
Alignment Meeting
Virtual or in-person discussion to explore collaboration potential
- Research methodology alignment
- Resource requirements
- Timeline development
Agreement Development
Formal collaboration agreement including IP, publications, and data sharing
- Memorandum of Understanding
- Data sharing agreements
- Publication protocols
Research Execution
Joint research activities with regular coordination and progress reviews
- Regular team meetings
- Shared workspace access
- Progress reporting
Dissemination
Joint publications, conferences, and knowledge transfer activities
- Co-authored papers
- Conference presentations
- Open-source tools
Research Network
We collaborate with leading institutions advancing responsible AI research
University of Portsmouth
Lead Institution
Partner Universities
Growing Network
Research Centres
Specialized Expertise
Policy Institutes
Governance Focus
Collaboration Resources
Start a Collaboration
Ready to advance responsible AI research together? Contact our research team to discuss collaboration opportunities.
Research Lead
Mohammad Ali Akeel
PhD Researcher
University of Portsmouth
Supervisory Team
Prof. Mark Xu
Dr. Salem Chakhar
Dr. M.A.S. Goraya
Contact
Email: trustgenai@port.ac.uk
Web: trustgenai.org
Location: Portsmouth, UK