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CORDIS - Resultados de investigaciones de la UE
CORDIS

Trusted AI for Transparent Public Governance fostering Democratic Values

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

AI4Gov Holistic Regulatory Framework V1 (se abrirá en una nueva ventana)

will study and list common antecedents for biases, unfairness and non-inclusiveness and list of vulnerable (intersectional) groups by UC and design the HRF of the project (T2.2).

Decentralized Data Governance, Provenance and Reliability V1 (se abrirá en una nueva ventana)

will architect the decentralized Blockchain-based applications in governance and will introduce, monitor and revise the DGF across the complete lifecycle of the project.

Trustworthy, Explainable, and unbiased AI V1 (se abrirá en una nueva ventana)

Prototype implementation of AI, XAI, SAX, FML and real-time analytics infrastructures.

AI4Gov Holistic Regulatory Framework V2 (se abrirá en una nueva ventana)

will study and list common antecedents for biases, unfairness and non-inclusiveness and list of vulnerable (intersectional) groups by UC and design the HRF of the project (T2.2).

Policies Visualization Services V1 (se abrirá en una nueva ventana)

Software implementations of policy modelling/interpretation/monitoring, and visualization services.

Reference Architecture and Integration of AI4Gov Platform V1 (se abrirá en una nueva ventana)

will identify the key components of AI4Gov and define the interfaces and interactions between them. It will also describe the integrations between the toolkits, libraries, frameworks and components of the project.

Decentralized Data Governance, Provenance and Reliability V2 (se abrirá en una nueva ventana)

will architect the decentralized Blockchain-based applications in governance and will introduce, monitor and revise the DGF across the complete lifecycle of the project.

Policy Recommendation Toolkit V1 (se abrirá en una nueva ventana)

will deliver a populated version of the catalogue for policies models and associated datasets to be exploited for reuse in different domains (T3.4).

Assessment tools, training activities, best practice guide V1 (se abrirá en una nueva ventana)

will introduce a set of (self) assessment tools and checklists, describe the training plan and activities with respect to different groups. Moreover, they will provide the material used in envisioned training courses and MOOCs, and a best practice guide and blueprint will be delivered covering ethical and technical aspects of AI development processes.

Specification of UC Scenarios and Planning of Integration and Validation Activities V2 (se abrirá en una nueva ventana)

Report on co-creation activities and specification design of the different UC scenarios. AI4Gov technologies’ experimentation and evaluation upon the different UCs.

Specification of UC Scenarios and Planning of Integration and Validation Activities V1 (se abrirá en una nueva ventana)

Report on co-creation activities and specification design of the different UC scenarios. AI4Gov technologies’ experimentation and evaluation upon the different UCs.

Input papers to facilitate the workshops on awareness raising V1 (se abrirá en una nueva ventana)

will provide the input papers with data on existing awareness-raising strategies to mitigate AI bias and discrimination and to enhance inclusiveness, representation, participation, openness, pluralism, and tolerance.

Dissemination, Communication, Standardization Activities Report V1 (se abrirá en una nueva ventana)

report (living document) on the outcomes of T7.1, T7.2 and T7.3, that will be delivered periodically.

Publicaciones

The WHY in Business Processes: Discovery of Causal Execution Dependencies (se abrirá en una nueva ventana)

Autores: Fournier, Fabiana; Limonad, Lior; Skarbovsky, Inna; David, Yuval
Publicado en: 2023
DOI: 10.48550/arxiv.2310.14975

How well can large language models explain business processes? (se abrirá en una nueva ventana)

Autores: Dirk Fahland, Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Ava J.E. Swevels
Publicado en: 2024
DOI: 10.48550/arXiv.2401.12846

A Question Answering Software for Assessing AI Policies of OECD Countries (se abrirá en una nueva ventana)

Autores: Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, Georgios Manias, Dimosthenis Kyriazis
Publicado en: The 4th European Symposium on Software Engineering (ESSE 2023), 2023
Editor: ACM
DOI: 10.1145/3651640.3651651

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