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 this Knowledge Cafe, you will have an opportunity to see some assistive robots in action and then participate in a discussion on the benefits and risks of these robots, how your data is used and how GDPR, and AI regulation, and ethics attempt to minimise these risks.

This event is crucial for creating the opportunity for public debate and awareness of AI in healthcare, and supporting responsible research and innovation.

This event is organised as part of the Alan Turing Institute Network, the EPSRC Emergence Network and the Horizon Digital Economy Research Institute.

Event Organisers:

Anna-Maria Piskopani, Horizon Research Fellow in IT Law

Praminda Caleb-Solly, Prof of Embodied Intelligence

Free food and refreshments will be provided.

Please register to attend HERE