Oxford University unveils autonomous cars research project with Capgeminihttps://fleetservicessummit.co.uk/wp-content/uploads/2022/02/Apprenticeships.jpg 960 640 Stuart O'Brien Stuart O'Brien https://secure.gravatar.com/avatar/81af0597d5c9bfe2231f1397b411745a?s=96&d=mm&r=g
Capgemini has revealed a collaboration with the University of Oxford focused on the safety and human factors of interactions with AI autonomous systems.
The firm is working in collaboration with the university ecosystem around cutting-edge technologies, creating thought leadership, assets, and the services of tomorrow. These joint efforts are designed to answer the crucial question: “How can technology help solve the key challenges of a more intelligent industry in society?”
David Jackson, Chief Technology Officer for Product & Systems Engineering at Capgemini Engineering, will work with a team of researchers supervised by Marina Jirotka, Professor of Human Centred Computing and lead for Responsible Research and Innovation in the Department of Computer Science at the University of Oxford, on a project entitled, “Being safe, feeling safe: designing, measuring and evaluating underlying factors determining safety and trust in autonomous vehicles”.
“The impacts of novel technologies on societies and individuals can sometimes get lost in the excitement of new tools and innovations. We believe this project with Capgemini gives us a great opportunity to really examine how we can keep human needs and interests at the forefront of research and development,” said Professor Jirotka.
“The wide adoption of innovations such as autonomous vehicles and aircraft needs people to trust them, so we are proud to tackle this challenge with the University of Oxford. This new initiative will further strengthen our strategic research program on Intelligent Industry,” commented William Rozé, CEO of Capgemini Engineering and Group Executive Board Member.
Capgemini says it’s committed to the adoption of AI in a way that delivers clear benefits from AI technologies within a trusted framework, by adopting the Code of Ethics for AI.