mUlti-Level Trustworthiness to IMprove the Adoption of hybrid arTificial intelligencE

Información del proyecto

ULTIMATE

Identificador del acuerdo de subvención: 101070162

DOI

10.3030/101070162

Proyecto cerrado

Fecha de la firma de la CE 12 Junio 2022

Fecha de inicio 1 Octubre 2022

Fecha de finalización 30 Septiembre 2025

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 3 529 112,50

Aportación de la UE

€ 3 529 112,50

Coordinado por

THALES
France

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

Websites, patent fillings, videos etc. (1)

Project public website and social media

The ULTIMATE public website will provide information about the project, publications, news, and events.

Documents, reports (1)

Report on assessment of Hybrid-AI

Report summarising evaluation for hardware/software unsupervised testing (CBR), impact of AI component / system as a quantitative statistical approach (TEC) and component-based control verification (KTH). The report will include the results of the ethical impact assessment in the end-users’ governance context. The effect of the AI hybrid tools and solutions on wider society will also be considered.

Ethics Requirements (1)

OEI - Requirement No. 1

"The ""Hybrid AI for Robotic navigation and collaborative work"" demonstrator considers the detection and precise tracking of human workers. The ethics advisor should ensure that the rights of the workers are preserved concerning privacy and data protection and that they are truly free to accept or reject participation to the research experiment.A first report on this topic should be provided before the start of WP5 (meaning M12)."

Publicaciones

Conference proceedings (5)

Real-world Application Facilitating Trustworthy Human-Robot Collaboration with Innovative Explainable Neuro-symbolic Reasoning

Autores: R. Kozik, S. Buś, G. Gawdzik, M. Pawlicki, A. Pawlicka and M. Choraś
Editor: IEEE

Towards Quality Measures for xAI algorithms: Explanation Stability

Autores: Marek Pawlicki
Publicado en: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023, ISBN 979-8-3503-4503-2
Editor: IEEE
DOI: 10.1109/DSAA60987.2023.10302535

Real-Time Anomaly Detection and Categorization for Satellite Reaction Wheels

Autores: Alejandro Penacho Riveiros, Yu Xing, Nicola Bastianello, Karl H. Johansson
Publicado en: 2024 European Control Conference (ECC), 2024
Editor: IEEE
DOI: 10.23919/ECC64448.2024.10591184

How Explainable Is Explainability? Towards Better Metrics for Explainable AI

Autores: Pawlicka, A., Pawlicki, M., Kozik, R., Kurek, W., Choraś M.
Publicado en: Research and Innovation Forum (RIIFORUM) 2023, 2024, ISBN 978-3-031-44721-1
Editor: Springer
DOI: 10.1007/978-3-031-44721-1_52

Formal Verification of Local Robustness of a Classification Algorithm for a Spatial Use Case

Autores: D. Longuet, A. Elouazzani, A. Penacho Riveiros, N. Bastianello
Publicado en: Proceedings Seventh International Workshop on Formal Methods for Autonomous Systems, ISSN 2075-2180
Editor: Electronic Proceedings in Theoretical Computer Science
DOI: 10.48550/ARXIV.2509.03948

Book chapters (3)

Supporting Human-Robot Collaboration and Safety with the Proposed Explainable Neuro-Symbolic Reasoning

Autores: Rafał Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michał Choraś
Publicado en: Lecture Notes in Computer Science, Availability, Reliability and Security, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-032-00642-4_15

ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization

Autores: Rafał Kozik, Damian Puchalski, Aleksandra Pawlicka, Szymon Buś, Jakub Główka, Krishna Chandramouli, Marco Tiemann, Marek Pawlicki, Rafał Renk, Michał Choraś
Publicado en: Lecture Notes in Computer Science, Intelligent Information and Database Systems, 2024
Editor: Springer Nature Singapore
DOI: 10.1007/978-981-97-4985-0_4

Ensuring Trustworthiness of Hybrid AI-Based Robotics Systems

Autores: Eguia, Alexander; Quintano, Nuria; Marsh, Irina; Barreteau, Michel; Główka, Jakub; Sprońska, Agnieszka
Publicado en: 2024
Editor: Springer Nature
DOI: 10.1007/978-3-031-76428-8_27

Peer reviewed articles (2)

Neurocomputing

Autores: M. Pawlicki, A. Pawlicka, R. Kozik, M. Choraś
Publicado en: Neurocomputing, Edición 950, 2024, ISSN 0925-2312
Editor: Elsevier
DOI: 10.1016/j.neucom.2024.127759

On the black-box explainability of object detection models for safe and trustworthy industrial applications

Autores: Alain Andres; Aitor Martinez-Seras; Ibai Laña; Javier Del Ser
Publicado en: Results in Engineering, 2024, ISSN 2590-1230
Editor: Elsevier
DOI: 10.48550/ARXIV.2411.00818