
Inria is a French public research establishment dedicated to computational sciences, and is the primary contact point for the French Government on the computational sciences, including artificial intelligence. With 8 research centres and its 183 project teams, Inria has a workforce of 2 400 scientists with an annual budget of 231 million euros, 25% of which coming from its own resources. Under its founding decree as a public science and technology institution, Inria's missions are to produce outstanding research in the computing and mathematical fields of digital sciences and to ensure the impact of this research on the economy and society in particular. Research at Inria covers the entire spectrum of computer science, including challenges raised by other sciences as well as socio-economic sectors. Inria's identity and strength are forged by its ability to develop a culture of scientific innovation, to stimulate creativity in digital research. In particular, Inria has been charged by the French Ministry of Research and Education to oversee the creation of a network of AI research institutes in France. Many Inria project teams participate in European framework programmes with 49 Horizon 2020 projects currently underway. INRIA is also one of the most successful research institutions in the ERC program, with 31 ERC projects currently underway within the 8 research centres. Inria research teams publish more than 5000 Scientific Journal and Conference Papers per year, with preference for publications in leading, high impact scientific Venues. Inria has an internal policy to promote open science, and requires its research teams to publish pre-print copies of all scientific publications in the HAL open archive system.
Role
Inria will lead the WP4 (Human AML Interaction). The work will be led by Wendy E. Mackay, a recognized researcher specializing in Human-Computer Interaction, with participation by Baptiste Caramiaux. They will take advantage of their extensive experience in designing interactive systems for creative professionals that take advantage of different machine learning techniques, but always with the goal of providing control to the user.
Meet the team



This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952091.