CORDIS
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Meaning and Understanding in Human-centric AI

Project information

Grant agreement ID: 951846

Status

Grant agreement signed

  • Start date

    1 October 2020

  • End date

    30 September 2024

Funded under:

H2020-EU.1.2.2.

  • Overall budget:

    € 3 996 032,50

  • EU contribution

    € 3 996 032,50

Coordinated by:

UNIVERSITAET BREMEN

Germany

Objective

The MUHAI project explores a radically new approach to push the envelope of human-centric AI technology to come to grips with meaning and understanding. Meanings are distinctions (categories) that are relevant for prediction, classification, communication, problem solving or other mental tasks. The meanings of an experience include what events, actors and entities play a role, the temporal, spatial and causal relations between events, intentions and motivations of the actors, and values that implicitly underly their behaviour. Understanding is the process of reconstructing these meanings and organizing them in terms of a coherent narrative that explains a new experience by linking it into a Personal Dynamic Memory.
The MUHAI project will advance our ability to capture more of the rich and complex understanding that humans are capable of. It critically relies on enormous recent advances in technical AI components (such as deep learning networks) and semantic resources (such as knowledge graphs). In addition, the project will build novel components, such as: mental simulation of actions using gamified virtual environments and a powerful context mechanism to deal with the complexity of accessing, expanding and managing a very big dynamic memory (> 10-100 billion of facts). All these components will be assembled in a library called CANVAS, made available through the AI4EU AI-on-demand platform.
The technical advances of the project will be developed and systematically tested in two challenging human-centric case studies emphasizing AI for the common good: (i) learning and using common sense every day knowledge on how to do things, in order to enhance well-being and empower common human activities, and (ii) learning about society through AI-supported analysis of historical sources and contemporary digital media streams, in order to understand social phenomena, specifically the origins and persistence of inequality in our society.
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Coordinator

UNIVERSITAET BREMEN

Address

Bibliothekstrasse 1
28359 Bremen

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 961 500

Participants (5)

STICHTING VU

Netherlands

EU Contribution

€ 782 500

VENICE INTERNATIONAL UNIVERSITY

Italy

EU Contribution

€ 950 000

VRIJE UNIVERSITEIT BRUSSEL

Belgium

EU Contribution

€ 453 125

SONY EUROPE BV

Netherlands

EU Contribution

€ 398 907,50

APICBASE

Belgium

EU Contribution

€ 450 000

Project information

Grant agreement ID: 951846

Status

Grant agreement signed

  • Start date

    1 October 2020

  • End date

    30 September 2024

Funded under:

H2020-EU.1.2.2.

  • Overall budget:

    € 3 996 032,50

  • EU contribution

    € 3 996 032,50

Coordinated by:

UNIVERSITAET BREMEN

Germany