AIOLIA - Operationalizing AI Ethics for Learning and Practice : a global approach

In today’s rapidly evolving world of Artificial Intelligence, we stand at a critical crossroads. The potential of AI to revolutionize every aspect of human life is undeniable. Yet, with great power comes great responsibility. AI’s transformative impact raises complex ethical questions: How do we ensure that AI serves humanity’s best interests? How do we balance technological innovation with human dignity, fairness, and inclusion?

AIOLIA will be working on recognising the gap between ethical values and the practical application of Artificial Intelligence (AI). The project will operationalise AI ethics with regard to human behaviour and create inclusive materials to teach the ethics of AI ; this includes lectures, videos, podcasts, chatbot, etc.

Abstract: 

AIOLIA gives a robust 3-tier response to the complex challenges posed by the need to operationally interpret the EU AI Act and global AI regulation.

Guidance: Recognizing the gap between ethical values and their practical application in engineering, AIOLIA pioneers a bottom-up approach to operationalize AI ethics with regard to human condition and behaviour. Following a selection of real-world use cases, AIOLIA translates high-level principles into actionable and contextual guidelines co-created by leading academic, policy, and ethics-aware industrial partners who represent diverse professional and geographic European and international contexts.

Training: AIOLIA's commitment to context-sensitivity is deepened by crafting modular, inclusive training materials following the ADDIE methodology designed to cater to diverse learning needs. Hosted on the Embassy of Good Science, AIOLIA materials will range from lectures, videos, and mock reviews to such innovative formats as podcasts, Tiktoks, and a chatbot teaching AI ethics.

Networking: AIOLIA's outreach is amplified by encompassing 7 research ethics and integrity networks and 3 prominent computer science networks. This strategic alignment enables us to effectively recruit training participants and disseminate human-centric ethics guidelines to a wide spectrum of stakeholders, from ethics experts to early-stage researchers and policymakers worldwide. Resolutely European, AIOLIA's vision propagates beyond EU, embracing global cooperation with leading universities and think tanks in China, South Korea, Japan, and Canada. Utilizing UNESCO platform with its reach to Africa and South Asia, AIOLIA’s guidelines evolve into an analytic toolbox for key international AI dialogues and processes.

This global perspective ensures that AIOLIA's impact is not only significant but also sustainable, contributing to fair scientific cooperation and providing concrete and culturally informed ethics instruments to shape the next generation of AI systems.

Project Information:

AIOLIA is a EU HORIZON Coordination and Support Action (CSA) funded by the European Commission under Grand Agreement 101187937

ERCIM's role: project partner
Duration: 36 months from 1 February 2025 to 31 January 2028
Total budget: € 2 999 895
EU contribution: € 2 999 895

Web site: https://aiolia.eu/
LinkedIn: @AIOLIA-horizon-europe-project
Fact sheet (Cordis): https://cordis.europa.eu/project/id/101187937

Partners: CEA - COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES (France), KIT - KARLSRUHER INSTITUT FUER TECHNOLOGIE (Germany), CENTRIC - SHEFFIELD HALLAM UNIVERSITY (UK), CERTH - ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (Greece), AUMC - STICHTING AMSTERDAM UMC (Netherlands), CEPS - CENTRE FOR EUROPEAN POLICY STUDIES (Belgium), THWS - TECHNISCHE HOCHSCHULE WUERZBURG-SCHWEINFURT (Germany), EUREC - EUREC OFFICE GUG (Germany), ERCIM - GEIE ERCIM (France), ADRA - AI DATA AND ROBOTICS ASSOCIATION (Belgium), EURACTIV - EURACTIV MEDIA BV (Belgium), McGILL - ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING MCGILL UNIVERSITY (Canada), CASTED - CHINESE ACADEMY OF SCIENCE AND TECHNOLOGY FOR DEVELOPMENT (China), STEPI - SCIENCE AND TECHNOLOGY POLICY INSTITUTE (South Korea), OSAKA - OSAKA UNIVERSITY (Japan), UH - U-HOPPER SRL (Italy), OXIPIT - Oxipit, UAB (Lithuania), NIT - NIT INSTITUT DOO ZA INFORMACIONE TEHNOLOGIJE NOVI SAD (Serbia), RISE - RESEARCH INSTITUTES OF SWEDEN AB (Sweden), ETICAS - ETICAS RESEARCH AND CONSULTING SL (Spain)

SMARTEDGE - Semantic Low-code Programming Tools for Edge Intelligence

Abstract:  The objective of the SMARTEDGE project is to enable the dynamic integration of decentralised edge intelligence at runtime while ensuring reliability, security, privacy and scalability.

We will achieve this by enabling a semantic-based interplay of the edge devices of such systems via a cross-layer toolchain that facilitates the seamless and real-time discoverability and composability of autonomous intelligence swarm. Hence, an application can be freely built by distributing the processing, data fusion and control across heterogeneous sensors, devices and edges with ubiquitous low-latency connectivity. The goal of this project is to develop a SMARTEDGE solution with a low-code tool programming environment with various tools: (1) Continuous Semantic Integration (CSI); (2) Dynamic Swarm Network (DSW); and (3) Low-code Toolchain for Edge Intelligence.

CSI allows the SMARTEDGE solution to interact with devices according to a (i) standardized semantic interface, via a (ii) continuous conversion process based on declarative mappings and scalable from edge to cloud, and (iii) providing a declarative approach for the creation and orchestration of apps based on swarm intelligence.

DSW provides (i) automatic discovery and dynamic network swarm formation in near real time, (ii) hardware-accelerated in-network operations for context-aware swarm networking, and (iii) embedded network security.

The low-code tool chain provides (i) semantic-driven multimodal stream fusion for Edge devices; (ii) swarm elasticity via Edge-Cloud Interplay; (iii) adaptive coordination and optimization; (iv) cross-layer toolchain for Device-Edge-Cloud Continuum.

The SMARTEDGE solution will be comprehensively demonstrated  over four application areas: automotive, city,  factory and heath via the strong collaboration of eight industrial partners, Dell, Siemens, Bosch, IMC, Conveq, Cefiel and NVIDIA with eight research institutes.

SMARTEDGE is a EU HORIZON Research and Innovation Action (RIA).

ERCIM's role: project partner

Duration: 36 months from 1 January 2023 to 31 December 2025

Total budget: € 7 353 640
EU funding: € 7 353 640

Partners: Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), Technische Universitat Berlin (TUB), AALTO Korkeakoulusaatio SR (AALTO), Conveqs Oy (CONV), Robert Bosch GmbH (BOSCH), Siemens Aktiengesellschaft (SAG), GEIE ERCIM (W3C), EMC Information Systems International Unlimited Company (DELL), CEFRIEL Societa Consortile a responsabilita Limitata (CEF), Mellanox Technologies Ltd - MLNX (NVIDIA), IMC - Industrial Management Consulting Slovakia S.R.O. (IMC), Fraunhofer Gesellshaft zur Forderung der Angewandten Forschung EV (FHG)

Web site: https://www.smart-edge.eu/

Twitter: https://twitter.com/SmartEdge_eu
Mastodon: https://w3c.social/@This email address is being protected from spambots. You need JavaScript enabled to view it.
LinkedIn: https://www.linkedin.com/company/smartedgeproject/

Fact sheet (Cordis): https://cordis.europa.eu/project/id/101092908

GLACIATION - Green responsible privACy preserving dAta operaTIONs

Abstract: From edge to cloud, big data analytics is growing fast, and its energy consumption has become a reason of concern for national grids and they generate significant carbon emissions. The GLACIATION project aims to address this issue through energy-efficient data operations.

 By developing a novel Distributed Knowledge Graph (DKG) that stretches across the edge-core-cloud architecture, reduction in the energy consumption for data processing will be achieved through AI enforced minimal data movement operations. GLACIATION will achieve significant power consumption reduction through optimizing the location where analytics are carried out. The projects Meta Data framework will provide tools that incorporate privacy and trust aspects in the data operations. GLACIATION is demonstrated on three relevant industry settings which benefit from optimized data movement and power consumption reduction. More specifically, GLACIATION use cases cover public-service, manufacturing, and enterprise data analytics.  

GLACIATION is a EU HORIZON Research and Innovation Action (RIA).

ERCIM's role: project partner

Duration: 36 months from 1 October 2022 to 30 September 2025

Total budget: € 8 256 913.75
EU funding: € 8 256 913.75

Partners: MINISTERO DELL'ECONOMIA E DELLE FINANZE - MEF, EMC INFORMATION SYSTEMS INTERNATIONAL UNLIMITED COMPANY - EISI, HIRO MICRODATACENTERS B.V.,  GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER - LUH, THE LISBON COUNCIL FOR ECONOMIC COMPETITIVENESS ASBL, UNIVERSITA DEGLI STUDI DI MILANO - UMIL, UNIVERSITA' DEGLI STUDI DI BERGAMO, GEIE ERCIM , EURECOM GIE, SAP SE, NATIONAL UNIVERSITY OF IRELAND, CORK - UCC, SOCIETA GENERALE D'INFORMATICA SPA - SOGEI, LAKESIDE LABS GMBH, ENGINEERING - INGEGNERIA INFORMATICA SPA

Web site: http://glaciation-project.eu/

Twitter: @glaciation_proj
Mastodon: @glaciation_project
Linkedin: @GLACIATION_PROJECT
Youtube: @glaciation-project

Fact sheet (Cordis): https://cordis.europa.eu/project/id/101070141