Organised by the UKRI TAS Node in Resilience on behalf of the UKRI TAS Programme, the UKRI Trustworthy Autonomous Systems in Health and Social Care Workshop will bring together health and social care practitioners, researchers, developers, operators, end users, policy makers and regulators, to discuss challenges and solutions for the trustworthy adoption of autonomous systems in health and social care.
The workshop will include keynotes from leading experts, presentations, demonstrations and poster sessions, panel debates, guided tours of the Institute for Safe Autonomy, a new £45m flagship research centre at the University of York, as well as ample opportunities for networking.
The registration for in-person participation is now closed.
Directions and accommodation
The workshop sessions and social event will be organised on the University of York's Campus East - see directions for reaching the University of York's Campus East. For accommodation options, please see the wide range of UniversityRooms and Booking.com options.
Each presentation slot (30mins) is arranged as 20mins talks + 10mins questions.
The venue has a PC and a projector for each presenter to use, and it is also possible to connect your own laptop.
eduroam wifi connection is available at the venue.
(see also detailed programme with presentation abstracts and rooms)
Tuesday 7th June 2022
12:00-13:00 Participant arrival, registration and buffet lunch - Department of Computer Science, Campus East
13:00-14:00 Keynote: Engineering NHS Resilience in the Pandemic First Wave (Chair: Ibrahim Habli)
Tom Lawton – Bradford Teaching Hospitals NHS Foundation
The demands placed on the NHS by the COVID-19 pandemic at the start of 2020 were unprecedented in the life of the NHS, but the response showed the best of what can be achieved when people are united by a single purpose. Using the real-life example of Bradford Royal Infirmary, this talk will discuss human resilience, the engineering response, and discuss how lessons from the pandemic may be relevant to healthcare Artificial Intelligence.
Tom Lawton is a Consultant in Critical Care and Anaesthesia and Head of Clinical Artificial Intelligence at Bradford Teaching Hospitals NHS Foundation Trust, and Director of Clinical Analytics at the Improvement Academy in the Bradford Institute for Health Research. He is a former computer programmer and current NHS-R fellow, and an affiliated member of the Yorkshire and Humber Patient Safety Translational Research Centre. As a Visiting Fellow of the Assuring Autonomy International Programme he is actively involved in the responsible introduction of AI into healthcare. He was awarded an MBE in 2020 for his work on COVID-19.
14:00-15:00 Session 1 : AI Solutions for Emergency, and Resilience of Network Services for Care (Chair: Victoria Hodge)
14:00- 14:30 AI-Assisted A&E Triage
Tunde Ashaolu – York and Scarborough NHS Trust
Ibrahim Habli and Billy Lyons – University of York
14:30 -15:00 Network Service Resilience and Its Role in Autonomous Healthcare/Social Care Systems Reliability
Poonam Yadav – University of York
15:00-15:30 Coffee break
15:30-17:30 Session 2: Trustworthy Autonomous Systems for Mental Healthcare and Disability Support (Chair: Mohammad Mousavi)
15:30- 16:00 Use of Robots for the Rehabilitation and Education of Autistic Children and Children with Learning Difficulties
Maria Jose Galvez Trigo – University of Lincoln
16:00- 16:30 Reimagining Trustworthy Autonomous Systems with Disabled Young People
Lauren White – University of Sheffield
Harry Gordon – Greenacre School
16:30- 17:00 Kaspar Explains: assessing added value of explanation in interaction with assistive technology
Marina Sarda Gou – University of Hertfordshire
17:00- 17:30 Trustworthy Assurance in Digital Mental Healthcare
Christopher Burr – Alan Turing Institute
Rosamund Powell – Alan Turing Institute
Wednesday 8th June 2022
09:00-10:00 Keynote: Human-centric data driven resilience for assistive robots (Chair: Radu Calinescu)
Sanja Dogramadzi – University of Sheffield
A major barrier to deployment of RAS systems in healthcare sectors is the assurance of safety in such systems, and the ability to ensure confidence in their design and use. A critical step in making machines safe to engage in physical contact with humans is to endow them with human-like sensing to adapt their response to external stimuli. Autonomous robots cannot be safely adopted in the healthcare domain without making significant advances in physical and cognitive adaptation to the ever changing dynamic environments in which they have to operate. This is of utmost importance in robotic applications that require close physical human-robot interaction where resilient operation is a precursor for safety. Resilience in this context requires the continuous monitoring of the user and environmental states, and using the observations from this monitoring to predict and detect failures, and to adapt the robot’s behavior proactively and efficiently. In the context of having users in the loop, communication with the autonomous agent through multi-modal sensing can ensure safe task execution and consequently build trustworthy human-robot interaction.
Sanja Dogramadzi is a Professor of Medical Robotics at the University of Sheffield. She has over 20 years of research experience in surgical and physically assistive robots, safe human-robot interaction and soft robotic structures. She has led numerous EPSRC, Horizon 2020, NIHR and Innovate UK projects as PI. She has expertise in soft robotics, sensing, image-guided control, haptics, teleoperation and safety in close physical human-robot interaction.
10:00-10:30 Session 3 : Assistive robotics (Chair: Maria Galvez Trigo)
10:00-10:30 Connected and Collaborative – designing assistive robots that change the dynamics in health and social care
Praminda Caleb-Solly – University of Nottingham
10:30-11:00 Coffee break
11:00-13:00 Demonstrations, posters, guided Institute of Safe Autonomy tours (activities not available to online participants)
AI-Assisted A&E Triage (demo), Tunde Ashaolu – York and Scarborough NHS Trust, and Billy Lyons – University of York
Ethical assurance methodology and interactive platform (demo), Christopher Burr and Rosamund Powell – Alan Turing Institute
Scheduling of Missions with Constrained Tasks for Heterogeneous Robot Systems, Gricel Vazquez - University of York
Human emotion understanding with XAI for trustworthy HRI (poster), Chuang Yu - University of Manchester
Towards simulation-based safety validation of assistive robots using assertion checking (poster), Chris Harper - Bristol Robotics Laboratory
Trust and Proxemics in Autonomous Medical Delivery Robots (poster), Charles Fox - University of Lincoln
Certified Reinforcement Learning (poster), Chao Huang – University of Liverpool
12:30-13:30 Buffet lunch
13:30-15:00 Session 4 : Explainability and regulation of AI for health and social care (Chair: Beverley Townsend)
13:30 -14:00 Do explanations enhance trust in healthcare applications?
Benedicte Legastelois – King's College London
14:00 -14:30 Certified Reinforcement Learning
Chao Huang – University of Liverpool
14:30 -15:00 Regulating AI in health and care: 3D regulation for 4D technologies
Phoebe Li – University of Sussex
15:00-15:30 Coffee break
15:30-17:00 Session 5: Co-design and deployment of TAS for health and social care (Chair: Poonam Yadav)
15:30- 16:00 COdesigning Trustworthy Autonomous Diabetes Systems (COTADS)
Chris Duckworth – University of Southampton
16:00- 16:30 A co-design framework for empowering future care workforces
Cian O'Donovan – University College London
16:30- 17:00 Intersectional Approaches to Design And Deployment of Trustworthy Autonomous Systems
Mohammad Naiseh – University of Southampton
17:00 Participant departure
Radu Calinescu, University of York and TAS Resilience Node
Xinwei Fang, University of York and TAS Resilience Node
Sinem Getir Yaman, University of York and TAS Resilience Node
Billy Lyons, University of York and DAISY TAS Pump-Priming Project
Hayley Taylor, University of York and TAS Resilience Node
Gricel Vazquez Flores, University of York