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DATAPACT: COMPLIANCE BY DESIGN OF DATA/AI OPERATIONS AND PIPELINES

Project description

AI and data compliance, sustainability and trustworthiness

Artificial intelligence (AI) and data services have experienced rapid and remarkable advancements in recent years, driving breakthroughs across services, capacities and technologies across various domains. While automation has made significant progress, it has also introduced risks associated with untested, faulty or unsecured data and AI solutions. With this in mind, the EU-funded DataPACT project aims to develop tools, methodologies and approaches to help data and AI pipeline developers create ethical, compliant and environmentally sustainable solutions. The project aims to deliver three key resources: a compliance toolbox, a compliance framework and a data/AI pipeline toolbox. Together, these will form a comprehensive development ecosystem, providing user-friendly tools to ensure quality and sustainability in data and AI operations in various use cases.

Objective

DataPACT develops novel tools and methodologies that enable efficient, compliant, ethical, and sustainable data/AI operations and pipelines. DataPACT delivers a transformative approach where compliance, ethics, and environmental sustainability are not afterthoughts but foundational elements of data/AI operations and pipelines. DataPACT contributes to the design, implementation, and management of data/AI operations and pipelines by embedding compliance, privacy, and environmental sustainability at their core design. It delivers compliance by design for data/AI operations and pipelines by developing innovative technical tools (DataPACT Compliance Toolbox) and tool-supported methodologies (DataPACT Compliance Framework) for compliance assessment and realization of data/AI pipelines designed, deployed and executed through a set of pipeline management tools and techniques (DataPACT Compliance-aware Data/AI Pipeline Toolbox).
DataPACT validates its core results through a strong selection of seven complementary use cases offered by SMEs, large companies, and public sector organizations in relevant areas, including media and entertainment, healthcare, smart cities, law enforcement and security, customer relationship management, manufacturing, and public data. DataPACT helps them ensure straightforward and cost-effective compliance with existing and emerging regulations and guidelines, shorter time-to-market for compliant data solutions, fair and unbiased data-driven systems, respect for privacy and other fundamental rights, and lower and transparent environmental impact for intensive data/AI pipeline operations.
DataPACT gathers a balanced consortium of 18 partners from 16 countries, consisting of two large companies, two public sector organizations, four SMEs, two research centers, and seven universities, covering relevant aspects related to legal, ethical, social, environmental, and technical compliance of data/AI operations and pipelines.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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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.

HORIZON-IA - HORIZON Innovation Actions

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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) HORIZON-CL4-2024-DATA-01

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Coordinator

SINTEF AS
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.

€ 1 677 323,75
Address
STRINDVEGEN 4
7034 Trondheim
Norway

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Region
Norge Trøndelag Trøndelag
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Research Organisations
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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.

€ 1 677 323,75

Participants (18)

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