Project description
Ensuring AI quality in a rapidly evolving landscape
The adoption of AI technology has tripled between 2017 and 2021. This growth, however, has heightened the risks of incidents related to ethical biases, prediction errors, and cybersecurity. Existing AI quality tools are inadequate, relying on manual testing that overwhelms AI/ML engineers amid escalating demands. In this context, the EIC-funded Giskard project is developing an open-source SaaS solution for automated AI quality assurance. This platform enables companies to conduct thorough testing, inspection, and remediation of their AI models. As a member of AFNOR, Giskard aims to become a leading European provider, helping organisations prepare for the forthcoming EU AI Act, with essential support from the European Innovation Council.
Objective
The adoption of AI technology is growing faster than ever, tripling from 2017 to 2021 (McKinsey). Risks of AI incidents, in particular with ethical biases, prediction errors, and cybersecurity, are rising. Current AI quality tools are insufficient and rely on manual testing, leaving a gap that AI/ML engineers cannot meet in terms of workload, costs & demand at the needed pace.
To address this need, GISKARD is developing an open-source and SaaS solution for companies that need quality assurance of their AI models. It provides a software platform for automated AI Quality Testing, Inspection & Remediation.
As a member of AFNOR, the French national standards council, GISKARD is committed to becoming the leading European software provider to help organisations prepare for the upcoming EU AI Act. EIC support is crucially needed to achieve this. In this project, GISKARD will optimise and validate its AI Testing solution and extend it to more use cases such as Time Series & Computer Vision.
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.
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.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences computer security
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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)
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.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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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.
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.
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.
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2023-ACCELERATOR-01
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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.
93500 PANTIN
France
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.