MUHAI uses two domains as testbeds for the development of the required breakthroughs: common sense pragmatic knowledge about the world needed for the domain of cooking and social knowledge needed for coming up, understanding and checking data stories about inequality in society.
The project relies on many existing techniques of AI ranging from deep learning networks to knowledge graphs, but will push their boundaries and develop new techniques all operating in the service of giving AI systems a better grip on meaning and thus on explanation and other key issues for achieving human-centric AI.
The outcome of MUHAI is twofold. It will push the state of the art in cognitive home robotics, particularly for food production and the management of food resources, and it will provide tools for social scientists to better understand social phenomena, as for example the persistence of inequality in our society.
The MUHAI project has started in October 2020 and will finish 48 months later.
Get
in touch
This email address is being protected from spambots. You need JavaScript enabled to view it.
Venice International University
Catalan Institute for Research and Advanced Studies
TEN Program on Sustainability
Venice International University
This email address is being protected from spambots. You need JavaScript enabled to view it.
uni-bremen.de/en/tzi
This email address is being protected from spambots. You need JavaScript enabled to view it.
Namur Digital Institute (NADI)
This email address is being protected from spambots. You need JavaScript enabled to view it.
csl.sony.fr/projects-language
This email address is being protected from spambots. You need JavaScript enabled to view it.
get.apicbase.com
Meaning and Understanding
in Human-centric
Artificial Intelligence