AAIP Demonstrators

Our demonstrator projects were instrumental in helping us and our partners understand and tackle the challenge of safety assurance of autonomous systems, robotics and AI in multiple domains.

Over the course of the AAIP we invested £5.5m in demonstrator projects which spanned industries, locations, and progressed fundamental and critical research in this area.

Their collective outcomes, impact and results allowed us to collate an understanding of common issues and best practices around safety assurance of AI. Each project contributed to advancing what we know, and how we developed our guidance for assuring the safety of autonomous systems.

The full list of our demonstrators is listed below by sector. Alternatively, you can download our demonstrator impact report (will be linked).

Safe robots for assisted living (ALMI project)
Machine learning in healthcare (SAFR project)
AI in ambulance response (ASSIST project)
Human factors in AI
Safety of the AI clinician
Assistive robots in healthcare (UWE project)
Medication management (SAM project)
Social credibility
Autonomous incidents
Trustworthy Assurance for Autonomous Systems (TEA-DH)
Human-Centred Explainability (HCE)

Shared control in autonomous driving (SafeSCAD project)
Automatic rating system for autonomous systems (ATM project)
Explaining autonomous decisions (SAX project)
Adapting current engineering processes (TIGARS project)

Boundaries of autonomy (BOAUT project)
Safe unmanned marine systems (ALADDIN project)
Regulation and liability in autonomous shipping (Swansea University project)

Assuring the safety of cobots (CSI:Cobot)
Flexible manufacturing (RECOLL project)

Assuring the Safety of UAVs for Mine Inspection (ASUMI project)

Assuring autonomy in space (ACTIONS project)

Robots to support farming (MeSAPro project)

Remote inspection using drones (SAFEMUV project)
Wizard of Oz prototyping for automated decision-making tools in air traffic control (WIZARD project)

Assuring system-of-systems (SUCCESS project)