The strategy outlines how the Centre will bridge the gap between technical AI breakthroughs and ethical, societal, and practical questions.
With a mission to ‘forge AI research, education, innovation, and training, for the benefit of society’, the strategy leverages Sheffield's cross-disciplinary expertise to tackle pressing technological and social challenges across the following core activity areas:
- Development of Open Source AI Software and Resources
- Human-Centric AI in Society and Culture (addressing ethics, bias, and inequalities)
- AI-Enabled Research (including Secure Data Environments)
- AI for Engineering and Manufacturing (including advanced materials)
- Physical AI and Robotics
Four Strategic Areas
The CMI Strategy 2026 closely aligns with the University's broader strategy, dividing its key action plans into four primary areas:
1. Research: Pushing Boundaries Responsibly
- Democratising access to cutting-edge AI technology, tools, and datasets while strictly adhering to UKRI’s Principles of Responsible and Trustworthy AI.
- Launching an internal 'AI Sandbox' to showcase and share in-house AI technologies and datasets for university researchers.
- Embedding social sciences and humanities perspectives into all CMI projects to ensure technical systems are ethically sound.
- Supporting Early Career Researchers (ECRs) and facilitating cross-disciplinary connections to increase large-scale grant success.
2. Innovation: Translating Research into Real-World Outcomes
- Boosting the pipeline of AI-enabled spinout companies by providing specialised training and resources to cohorts from undergraduate to professor level.
- Deepening strategic alliances with regional policymakers, local government, and industry partners to foster knowledge exchange and high-impact policy contributions.
3. Education: Shaping the Next Generation of AI Leaders
- Integrating research-based, AI-positive pedagogy across both academic and vocational university pathways to build critical AI literacy.
- Expanding student opportunities by pairing programmes with external expert guest lecturers and creating AI-focused student placement roles.
4. One University: Building a Sustainable, Collaborative Community
- Driving "Green AI" initiatives by facilitating transparent conversations about the environmental costs of scaling AI, while exploring how machine intelligence can improve the University’s own sustainability goals.
- Fostering a cohesive internal ecosystem through regular cross-faculty community events and specialised Interest Groups.
Looking Ahead
By combining technical excellence with a deep understanding of societal impact, the University of Sheffield is ensuring that the AI of tomorrow is built on a foundation of integrity, sustainability, and collaborative excellence.
Read the Full Strategy: Explore the strategy in depth and download here.