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building GrEener and more sustainable soCieties by filling the Knowledge gap in social science and engineering to enable responsible artificial intelligence co-creatiOn

Project description

Responsible AI for a sustainable green transition

To increase trust in artificial intelligence (AI), a European Commission report highlights the need for civil society to discuss values embedded in AI and responsible design practices that encode societal values and recommendations. Although accountable, responsible and transparent AI is a promising method for the EU, it is not yet mature, requiring new research skills to bridge the gap between disciplines. The EU-funded GECKO project will focus on the European Green Deal and AI ecosystem, making the sustainable green transition advantageous for all citizens. The project will establish a pioneering integrated research programme based on a synergy between science, humanities and technology, which will give the EU a global competitive advantage.

Objective

GECKO will focus on accountable, responsible, and transparent artificial intelligence (ART AI) to address urgent environmental needs and support the European Green Deal and AI ecosystem, ensuring that all citizens benefit from the sustainable green transition. The EC AI flagship report highlights the need for the input of civil society to discuss values being embedded into AI (via social sciences) and responsible design practices (via information sciences) that encode societal values and guidelines into AI system so that they are ethical by design in order to build and retain trust in AI. ART AI is a promising approach for EU, but has not yet reached the level of maturity and urgent research and new research skills are needed to bridge the gap between disciplines. GECKO will establish a synergy between science, humanities, and technology research, currently missing, through a ground-breaking integrated research programme giving Europe a competitive global advantage. GECKO’s ambition is to create a sustainable, European-wide network with a critical and innovative mass, driving innovative, socio-technical AI, driving future policies with ground-breaking and responsible AI, reducing the carbon footprint of the domestic sector, tackling social justice in the energy sector, and leading the pathway towards the first carbon neutral continent. The ‘EU added-value’ for research excellence is unique as it includes: (i) a well-balanced mixture of world-leading expertise in social science, information science, and engineering not present in individual countries; (ii) industrial stakeholders covering different aspects of technology innovation across EU; (iii) access to diverse data, resources, and stakeholders across the EU enabling public debates in different fora to translate societal values into AI system design strategies; (iv) studying cross-country (-cultural) related issues related to home technology use in civil society, identifying commonalities and differences.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-ITN-2020

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Coordinator

UNIVERSITAET SIEGEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 490 409,49
Address
ADOLF REICHWEIN STRASSE 2A
57076 Siegen
Germany

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Region
Nordrhein-Westfalen Arnsberg Siegen-Wittgenstein
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 490 409,49

Participants (8)

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