Assessment of Learning technologies and Frameworks for Intelligent and Ethical AI

Información del proyecto

ALFIE

Identificador del acuerdo de subvención: 101177912

DOI

10.3030/101177912

Fecha de la firma de la CE 23 Septiembre 2024

Fecha de inicio 1 Octubre 2024

Fecha de finalización 30 Septiembre 2027

Financiado con arreglo a

• Culture, creativity and inclusive society

Coste total

€ 2 999 882,50

Aportación de la UE

€ 2 999 882,50

Coordinado por

CATALINK LIMITED
Cyprus

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (8)

Initial market analysis, exploitation plan and business models

The initial version of this deliverable will include an updated version of the market analysis and the exploitation plan, as well as specific business models from project assets.

Initial AI tools for multilingual interaction and automatic generation of AI models

This deliverable will present the initial AI tools that will be produced from automatic generation of AI models and multilingual interaction with the end-users.

Initial use case definition and AutoML validation

The initial version of this deliverable will describe the 3 pilot use cases, elaborating on the challenges, needs and demonstration approaches and will outline the evaluation methodology to be pursued.

Project website, market analysis, dissemination and exploitation plan

This deliverable will showcase the project website, present the initial dissemination plan of the project and the project’s communication material. It will also contain a detailed market analysis of AI and related technologies domain, the industrial requirements needed to consider, and the initial exploitation plan for each component of ALFIE system

Mid-term use case definition and AutoML validation

The mid-term version of this report will present the evaluation metrics of the trial use cases and new requirements for consideration by the AutoML tools.

Initial modern AI deployments and ethical gaps

D2.1 will provide a comprehensive report presenting a balanced perspective on the modern AI technologies and gaps

Initial best practices blueprint for ethical AI and AutoML Integration

This deliverable aims to consolidate a comprehensive best practices blueprint that will serves as a guide for designing an ethical AI framework and seamlessly integrating EU policy recommendations into the AutoML platform

Initial AutoML data warehouse and semantic knowledge graph

This deliverable will report the initial data collected from the end-users and pilot sites, as well as the retrospective data collected from other sources. Details of the initial semantic knowledge graph and semantic reasoner will also be included.

Data Management Plan (1)

Initial data management plan

This deliverable will describe the data generated in the project and will categorise them with respect to (i) their confidentiality, ethical treatment, possibility to be shared in the open data initiative, and (ii) their format and standardisation. Finally, it will specify guidelines for the management of all generated data in accordance with their categorization, as well as the EU ethical frameworks.

Publicaciones

Peer reviewed articles (3)

Ethical AI prompt recommendations in large language models using collaborative filtering

Autores: Jordan Nelson, Almas Baimagambetov, Konstantinos Avgerinakis, Nikolaos Polatidis
Publicado en: International Journal of Parallel, Emergent and Distributed Systems, 2025, ISSN 1744-5760
Editor: Informa UK Limited
DOI: 10.1080/17445760.2025.2573086

Leveraging Ethical Narratives to Enhance <scp>LLM</scp>‐<scp>AutoML</scp> Generated Machine Learning Models

Autores: Jordan Nelson, Michalis Pavlidis, Andrew Fish, Nikolaos Polatidis, Yannis Manolopoulos
Publicado en: Expert Systems, Edición 42, 2025, ISSN 0266-4720
Editor: Wiley
DOI: 10.1111/EXSY.70072

When AI fails to listen: convergent failure patterns across speech impairments and low-resource speech in ASR

Autores: Reyhaneh Sohrabi
Publicado en: AI &amp; SOCIETY, 2026, ISSN 0951-5666
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S00146-026-03073-Y

Conference proceedings (1)

Utilizing Large Language Models for Machine Learning Explainability

DOI: 10.48550/ARXIV.2510.06912

Monographic books (1)

ETHICOMP 2025 22nd international conference on the ethical and social impacts of ICT Lisbon

Autores: Isabel Alvarez, Adrian Didiu
Publicado en: 2025
Editor: Autónoma Edições
DOI: 10.26619/978-989-9002-62-3