Project description
Synthetic data for trustworthy AI
Machine learning (ML) and artificial intelligence (AI) offer many benefits to modern companies. Since ML/AI is data intensive, companies often face challenges to successfully adopt AI due to poor quality data, data access and sharing aspects due to privacy constraints. Clearbox AI, an Italian deep tech startup offers a synthetic data engine as an enterprise software solution for data quality augmentation and privacy preservation for responsible AI adoption. The EU-funded TIME project Clearbox AI will enhance synthetic data solution to assess bias in datasets and provide mechanisms. The aim is to mitigate them for an equitable, robust and trustworthy AI.
Objective
Trustworthy and Inclusive MLOps made in Europe (TIME) aims at accelerating the realisation of the strategic ambition of Clearbox AI a deeptech Italian startup, led by a woman leader, Dr. Shalini Kurapati. Our current product, the AI Control Room enables companies to harness the power of AI following the Trustworthy AI principles efficiently and robustly.
The AI control room is both a cloud-based and on-premises software platform built on a patented implementation of generative models derived from 10 years of Research and Development. It implements the various principles of trustworthy AI such as data assessment, technical robustness check, model validation, monitoring and reproducibility in a viable and easily usable technical environment.
The objective of Clearbox AI is to validate a sustainable business model while creating a positive and lasting impact on society through AI. Through this call the main activities we plan to implement towards this objective are to: 1. Implement the bias and discrimination assessment and mitigation module within our product offering and release it open source 2. Accelerate Communication and dissemination of the value-based propositions of trust, bias mitigation, and inclusion.
Our ambition beyond our commercial success and positive social impact is to continue to challenge the technology competitiveness gap in AI in Europe (Enterprise/civilian AI adoption is behind US, China, and Israel) and global women leadership gap (only 8% of AI leadership roles are held by women).
The Women tech EU call can help us accelerate our path to create this impact and to support Clearbox AI, and its woman leader in competing with larger players on the platform of global EU leadership in Trustworthy AI.
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
- social sciences sociology social issues social inequalities
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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.3.2 - European innovation ecosystems
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-CSA - HORIZON Coordination and Support Actions
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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-EIE-2021-SCALEUP-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.
10129 Torino
Italy
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.