Our research is conducted with a broad range of project partners. This includes academic institutions from around the world, industrial partners, as well as cross-departmental and divisional collaboration at the University of Oxford.
Our academic partners are:
- Alan Turing Institute
- Bristol Robotics Lab
- Department of Computer Science, University of Oxford
- Department of Experimental Psychology, University of Oxford
- Glasgow University
- Kings College London
- Lancaster University
- Law Faculty, University of Oxford
- London School of Economics
- Manchester Metropolitan
- Open University
- Oxford Robotics Institute
- UCLA
- University College London
- University of Auckland, New Zealand
- University of Bath
- University of Cambridge
- University of Edinburgh
- University of Leeds
- University of Nottingham
- University of Sussex
- University of Tokyo
- University of Vienna
- University of York
Our industrial and charitable organisation collaborators are:
- Addleshaw Goddlard LLP
- Asia Pacific Assistive Robotics Association
- AWS
- Autonomous Drivers Alliance
- AXA XL
- BBC
- Black Dog Institute
- BT
- Bfb labs
- Bounce Black
- Centre for Mental Health
- Consequential Robotics
- Emerging Minds
- eNurture
- Horizon
- IBM
- Imperium Drive
- ITU FG-AI4AD
- Kooth plc
- Microsoft
- MindTech
- McPin
- Newton Europe
- NHS
- NTT Communication Science Laboritories
- Orbit
- Open Bionics
- Oxbotica
- Small World Consulting
- Society for Computers and Law
- Star
- TAS Hub
- TLR Limited
- UK Government’s Department for Culture, Media and Sport
- Young Minds
The Responsible Technology Institute received seed funding as part of an AWS gift to the University of Oxford in 2020, and is now primarily supported through the receipt of grants from public funding bodies including EPSRC, ESRC, and others, as well as other industry support.
The RTI also works as part of the Oxford–Singapore Human-Machine Collaboration Initiative (HMCI). This is an international university-industry-investment collaboration. This programme is multidisciplinary: driven by computer and engineering sciences, and utilises the enabling technologies of artificial intelligence & robotics.