An Alan Turning Institute Network Award
Award Lead: Praminda Caleb-Solly
Project CoIs: Anna-Maria Piskopani, Stuart Marsh, Ender Ozcan, Yordan Raykov, Cristina Vrinceanu, Steve Benford, Mark Van Rossum, Christopher Woodard, Tony Pridmore, Doreen Boyd, Zachary Hoskins, Alexander Kasprzyk, Nicholas Watson, James Goulding, Paul Grainge
Knowledge Cafes enable a conversational process that brings a group of people together to share ideas and learn from each other. The aim is to get a deeper understanding of a topic and issues involved and explore possibilities. There is no attempt to make decisions, but about faciliatating relaxed and informal conversations to help people get a better understanding of an subject area so that they can contribute to discussions that shape future developments.
We have held two knowledge cafes over the course of this project to help people find out about assistive robots, AI and data privacy.
One of the greatest political, social, and economic challenges of the 21st century for western societies with an ageing population is to consider how to maintain a high standard of health and well-being. One solution is the use of intelligent assistive robots for use in the health and social care sector.
In order to develop these robots, accurate datasets play a critical role. Artificial Intelligence (AI) has become a key element of these robots. Every AI model is trained and evaluated using data, quite often in the form of static datasets. Researchers are depended on the data samples to train and test algorithmic systems in order to develop AI embodied robots. Data from participants in research project are needed for the design, programming, construction and testing of these robots. These new technologies hold not only advantages but also a variety of concerns regarding their direct and indirect effects on society.
In our Knowledge Cafes, we invited members of the public to see some assistive robots in action and then participate in a discussion on the benefits and risks of these robots, how their data could be used and how GDPR, and AI regulation, and ethics attempt to minimise these risks.
This event was crucial for creating the opportunity for public debate and awareness of AI in healthcare, and supporting responsible research and innovation.
Here are some of the issues highlighted by the participants during the discussions as illustrated by Sam Church