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

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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