RMIT Artificial Intelligence Advanced Innovation Experience (RAIsE) is RMIT’s AI Education–Research–Industry nexus.
The RAIsE Hub connects interdisciplinary AI education, applied research, and industry collaboration to advance responsible, industry-connected artificial intelligence. We equip students with industry-informed AI skills, enable research with real-world impact, and convene leaders across academia, government, and industry to strengthen AI capability and impact. Through this approach, RAIsE strengthens RMIT’s role in shaping the future of AI.
“RAIsE strengthens coordination, capability, and impact across RMIT’s AI ecosystem.”
Why RAIsE
Artificial intelligence is reshaping industries, professions, and institutions at unprecedented speed. The challenge is not only technological — it is educational, organisational, and societal.
Universities must do more than produce technical expertise. They must equip graduates across disciplines with AI capability, support research that translates into real-world impact, and foster responsible adoption across sectors.
RAIsE was established to address this challenge.
By connecting education, research, and industry, RAIsE builds interdisciplinary AI capability that is practical, ethical, and future-focused. The RAIsE Hub develops AI-ready graduates, advances industry-relevant research, and contributes to RMIT’s evolving enterprise AI maturity journey.
Through this model, RAIsE ensures AI capability is embedded across disciplines and grounded in responsible practice.
The RAIsE Model
RAIsE operates through an integrated model that connects interdisciplinary education, applied research, and industry collaboration to advance responsible AI capability and impact.
The Hub’s work is organised across four interconnected pillars:
Interdisciplinary AI Education
Designing and delivering industry-informed AI learning pathways that equip students across disciplines with practical, responsible AI capability. From foundational literacy to applied industry projects, RAIsE prepares AI-ready graduates for evolving professional environments.
Interdisciplinary AI Research & Innovation
Advancing applied AI research that addresses real-world challenges across sectors. RAIsE supports collaborative, impact-oriented research that bridges technical innovation with domain expertise and responsible practice.
Translation & Industry Collaboration
Partnering with industry, government, and community organisations to co-design, prototype, and evaluate AI solutions. RAIsE facilitates pathways from research and learning into practical application and capability uplift, aligned with responsible AI practices.
AI Thought Leadership
Convening leaders, researchers, and practitioners to explore the strategic, ethical, and organisational implications of AI. Through forums, panels, and collaborative dialogue, RAIsE contributes to shaping responsible AI discourse and practice.
Activations
RAIsE actively engages across education, research, and industry to strengthen AI capability and responsible adoption across sectors. Through these engagements, RAIsE strengthens its role as a convenor of cross-sector dialogue and a catalyst for interdisciplinary AI capability development.
These activations include:
AI in Practice minor co-design workshops with academic and industry contributors, shaping interdisciplinary AI education across RMIT’s three colleges
E Enterprise AI keynote at IT Leadership (CXO) summits, addressing organisational AI adoption, governance, and value realisation in enterprise contexts.
Strategic advisory on enterprise AI adoption, informing institutional approaches to AI literacy, governance, and readiness across complex organisations.
CEDA & National AI Centre Leadership Summit panel, hosted by RMIT, on closing the AI skills gap and preparing graduates and employers for an evolving workforce
Hosting AI Research Thought Leadership Seminar with Professor Chris Manning (Stanford University), convening researchers and industry leaders on advances in generative AI
Responsible AI Governance Workshop (co-hosted with CEDA) for industry leaders
Agentic AI Hackathon & Industry Panel, connecting students, researchers, and industry practitioners
Regional Development and Public Sector AI Forums, contributing to conversations on AI capability and future workforce skills
Launch of RAIsE student community engagement, bringing together students across disciplines to explore practical applications of AI and connect with emerging opportunities
People
RAIsE is led by Professor Rahil Garnavi Director of the RAIsE Hub within the School of Computing Technologies, STEM College at RMIT University.
Partner With RAIsE
RAIsE welcomes collaboration with industry, government, community organisations, and academic partners interested in advancing responsible and applied artificial intelligence.
The Hub provides a platform for co-designing AI education initiatives, collaborating on interdisciplinary research, exploring translation pathways, and engaging in strategic dialogue on AI capability and governance. Partnerships may include curriculum co-development, applied research collaboration, industry-informed student projects, executive forums, or joint capability-building initiatives.
Strategic industry collaborations contribute to curriculum innovation, research dialogue, and capability development, with further partnerships continuing to evolve across sectors.
RAIsE’s engagement model is collaborative and enabling — connecting expertise across RMIT’s colleges and portfolios to respond to emerging AI opportunities and challenges.
To explore collaboration opportunities, please contact the RAIsE Hub.
RAIsE on LinkedIn
As RMIT’s AI Education–Research–Industry nexus, RAIsE connects learning, innovation, and impact to shape the future of responsible AI applications and their adoption.
