Learning is at the heart of AIRON.
We support research professionals to build the knowledge, confidence and judgement needed to understand and use artificial intelligence responsibly within research operations.
AIRON combines structured learning, peer exchange and practical discussion across an international community.
AIRO Leads
AIRO Leads is AIRON’s cohort-based learning programme for research professionals who want to deepen their understanding of responsible, ethical and effective AI use within research operations.
Through expert-led sessions, discussion, practical examples and peer learning, participants explore how AI is affecting research support, governance, professional practice and decision-making.
The programme runs periodically in small cohorts to encourage meaningful discussion and active participation.
Learn more about AIRO Leads programme
Thematic Groups
AIRON’s Thematic Groups bring together members with shared interests in areas such as research funding, governance, ethics, policy and digital research support.
The groups provide opportunities for peer learning, discussion and exchange of professional experience around the responsible adoption of AI.
Regional Groups
AIRON’s Regional Groups connect members across countries and regions, enabling people to learn from different institutional and national perspectives on AI adoption.
Through discussion and peer exchange, members can explore local challenges, emerging practice and shared learning across the global research community.
Learning in Practice
AIRON’s events create opportunities to explore current issues, practical experiences and emerging approaches to AI across research operations.
Sessions may include AI Clinics, Leadership Conversations, AI Use Case sessions, webinars and discussions on topics such as governance, ethics, research funding, professional practice and responsible AI adoption.
These activities bring together expert perspectives and real-world experience, helping participants connect ideas with practice and learn from others across the research community.
Learning Together
AIRON believes that responsible AI adoption requires more than technical knowledge.
It also requires critical thinking, professional judgement, awareness of ethical and governance issues, and opportunities to learn from the experiences of others.
By combining structured learning, peer exchange and practical discussion, AIRON helps strengthen responsible and informed AI practice across research operations.
