RAIDO

Reliable AI and Data Optimisation

Basic information

Call: HORIZON-CL4-2023-HUMAN-01-CNECT (A human-centred and ethical development of digital and industrial technologies)
Topic: HORIZON-CL4-2023-HUMAN-01-01
Type of Action: HORIZON-RIA
Proposal number: 101135800
Proposal acronym: RAIDO
Type of Model Grant Agreement: HORIZON Action Grant Budget-Based

Website: https://raido-project.eu/

Map

Slovenia (coordinator), Belgium, Cyprus, France, Greece, Ireland, Italy, Luxembourg, Spain, UK

About

While solutions for trustworthy and green AI do exist, they are mostly fragmented and myopic, and provide narrow and isolated solutions that function only within their own boundaries without ensuring interoperability. To alleviate the limitations of existing solutions, RAIDO aims to make transformative steps towards trustworthy and green AI by offering a holistic and comprehensive framework solution covering all data- and model-related aspects of these problems within an integrated platform.

What is the problem the project is addressing?

Trustworthy AI is a requisite as AI systems must be reliable, safe, and unbiased in their optimisation and deployment processes in order to avoid any negative externalities. The increasing use of AI in critical sectors such as healthcare, industry, finance, and criminal justice has highlighted the importance of having trustworthy AI. Additionally, with the increasing amount of data being generated in the world today, there is a need for AI systems that can optimally analyse and utilise data while also being transparent and accountable.

How is it solving the problem?

The RAIDO platform is designed to provide automated methods for data curation and enrichment, including Digital Twins and diffusion models. This approach will establish a pipeline for the generation of high-quality, representative, unbiased, and compliant training data, ensuring the development of highly performing and trustworthy AI models. The platform will showcase its capabilities through four real-life demonstrators, each addressing key application domains—smart grids, computer vision-based smart farming, healthcare, and robotics for bio-based composites. These demonstrators are selected for their notable societal and market impact.

What is the logic of the data in the project?

The RAIDO project will clearly define the data used in all its activities, specifying the aspects, nature, and utilisation of the data to ensure fair, transparent, and lawful conduct. The project will use data collection to the most limited degree possible in order to avoid any adverse impact on project outcomes, thus mitigating potential misuse or undesired utilisation. Through related deliverables, the project will explicitly outline the flow of data and set rules for data collection, storage, and usage. Additionally, when required, all data will undergo proper pseudo randomisation or anonymisation procedures.
Who are the Partners and What Data will they Bring?
RAIDO is bringing together a team of highly experienced and skilled partners (including 14 SMEs) from 9 EC member states, the UK, and India who are dedicated to delivering the outcomes promised. Notably, the majority of the SMEs are data driven and will contribute data sources to the project.

Tangible results

At this initial stage, we have outlined several tangible results that we are hoping to achieve. In terms of data, these include the RAIDO Model and Data Repository Search, Innovative Key Performance Indicators (KPIs) to measure AI-enabled system performance, and Green-AI & Data Orchestrators. Ethical and unbiased data for Trustworthy AI training, as well as AI explainability, will be addressed through a decentralised blockchain mechanism with IPFS support, ensuring decentralisation and efficient optimization of AI models while guaranteeing data privacy and transparency for Regularity and Progress Monitoring. The project will also introduce RAIDO feedback-based Reinforcement Learning solutions and continuous monitoring for AI model and data optimization. Additionally, efforts will be directed towards influencing improved GDPR legislations regarding privacy associated with data synthesis.

PARTNERS

No

Participant organisation name

Short Name

Type

Country

1*

INSTITUT “JOŽEF STEFAN”

JSI

Research Center

Slovenia

2

UBITECH LIMITED

UBITECH

SME

Cyprus

3

NETCOMPANY-INTRASOFT SA

INTRA

Industry

Luxembourg

4

AYESA ADVANCED TECHNOLOGIES SA

AYE

Industry

Spain

5

FUJITSU TECHNOLOGY SOLUTIONS (LUXEMBOURG) SA

FTS

Industry

Luxembourg

6

METAMIND INNOVATIONS IKE

MINDS

SME

Greece

7

TRINITY COLLEGE DUBLIN

TCD

University

Ireland

8

THE AWARENESS MOVEMENT

AWM

NGO

Cyprus

9

KRECHNOLOGIES

KRE

SME

Belgium

10

KINGSTON UNIVERSITY HIGHER EDUCATION CORPORATION

KU

University

UK

11

HELLENIC DYNAMICS PLC

HELD

SME

UK

12

QUEEN MARY UNIVERSITY OF LONDON

QMUL

University

UK

13

VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK N.V.

VITO

Research Center

Belgium

14

SIDROCO HOLDINGS LIMITED

SID

SME

Cyprus

 

15

COMMUNAUTE D’ UNIVERSITES ET ETABLISSEMENTS UNIVERSITE BOURGOGNE – FRANCHE – COMTE

 

UBFC

 

University

 

France

16

UNIVERSITE DE FRANCHE-COMTE

UFC

University

France

17

EIGHT BELLS LTD

8BELLS

SME

Cyprus

18

MATHEMA SRL

MATH

SME

Italy

19

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS

CERTH

Research Center

Greece

20

UBITECH ENERGY

UBE

SME

Belgium

21

CYBERJAB LIMITED

CYBERJAB

SME

Ireland

22

DIMOSIA EPICHEIRISI ILEKTRISMOU ANONYMI ETAIREIA

PPC

Industry

Greece

23

AXON LOGIC IDIOTIKI KEFALAIOUXIKI ETAIREIA

AXON

SME

Greece

24

ADRESTIA EREVNITIKI IDIOTIKI KEFALAIOUXIKI ETAIREIA

ADRESTIA

SME

Greece

25

LOGOS RICERCA E INNOVAZIONE

LRI

SME

Italy

26

JESSA ZIEKENHUIS

JESSA

Healthcare

Belgium

27

TWI ELLAS ASTIKI MI KERDOSKOPIKI ETAIREIA

THL

SME

Greece

28

MPAI STORE LIMITED

MPAI

SME

UK

Associated Partner

29

INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR

IITKGP

Research Center

India

(*) Coordinator

Coordinator Contact Person

John Shawe-Taylor

Tel.

+386 1 477 3156

Email

john.shawe-taylor@ijs.si

CONTACT

International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO 

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana

info@ircai.org
ircai.org

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