SubsidieMeestersQuality Assurance for AI
GISKARD is developing an open-source SaaS platform for automated AI quality testing to address ethical biases and prediction errors, aiming to lead in compliance with the EU AI Act.
Projectdetails
Introduction
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 Challenges
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, and demand at the needed pace.
Proposed Solution
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, and Remediation.
Commitment to Standards
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.
Support and Development
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
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.499.999 |
| Totale projectbegroting | € 3.729.395 |
Tijdlijn
| Startdatum | 1-9-2023 |
| Einddatum | 31-8-2025 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- GISKARD AIpenvoerder
Land(en)
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