Hybrid Human-AI Decision Support for Enhanced Human Empowerment in Dynamic Situations

Informacje na temat projektu

HumAIne

Identyfikator umowy o grant: 101120218

DOI

10.3030/101120218

Projekt został zamknięty

Data podpisania przez KE 11 Września 2023

Data rozpoczęcia 1 Października 2023

Data zakończenia 30 Września 2026

Finansowanie w ramach

• Digital, Industry and Space

Koszt całkowity

€ 7 658 375,00

Wkład UE

€ 7 658 375,00

Koordynowany przez

GFT ITALIA SRL
Italy

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (14)

Reference Architecture and Specifications v2

Documentation of the HumAIne RA (T2.6) and technical specifications. Including task and workflow modelling (T2.2) and semantic knowledge modelling (T2.3).

XAI methods and Benchmark Suite for Human-AI systems v1

Delivers the software implementations of (i) Glass-box models (T3.1), (ii) Black-box models’ interpretability (T3.2), and (iii) Benchmark Suite (T3.5).

HumAIne Platform Integration v1

Reports periodically on HumAIne platform overall implementation (T5.1, T5.2, T5.3)

Reference Architecture and Specifications v1

Documentation of the HumAIne RA (T2.6) and technical specifications. Including task and workflow modelling (T2.2) and semantic knowledge modelling (T2.3).

Use Cases Specification and Pilot Sites Preparation v1

Report on the detailed specifications of the pilots & UCs (T6.1)

Integrated Pilot Systems and Pilot Operations v1

Prototype implementation and demonstrators of all pilots/UCs

Training Centre Development for Human-AI collaboration v1

Delivers the development related to the Digital Training Center (T5.4)

Requirements Analysis, Reference Scenarios, Applicable Standards and Regulations v1

Report on the analysis of requirements, the review of the state of the art and the reference scenarios for human-AI based on T2.1. It includes analysis of the applicable standards, including information about their impact on the project’s developments (T2.4).

Advanced AI Platforms for human-AI collaboration v1

Delivers the software implementations of (i) Active Learning Platform and models (T4.2), (ii) Swarm Intelligence Platform and models (T4.3), (iii) Neuro-Symbolic AI Platform and models (T4.4). It also analyses the data supported and used by the AI platforms (T4.1) and platforms’ adaptation to different requirements (T4.5).

Dissemination, Communication, and Standardization Activities v1

A report (living document) on the outcomes of T7.1, T7.2, T7.5 that will be delivered periodically. It also presents the project’s training activities (T7.4).

Dissemination and Community Building Plan

Report on planning of T7.1 and T7.2.

Next Level Human Machine Interfaces 1st version available v1

Delivers the implementations of (i) Human Machine Interfaces (T3.3), (ii) Knowledge Exchange Techniques (T3.4)

Requirements Analysis, Reference Scenarios, Applicable Standards and Regulations v2

Report on the analysis of requirements, the review of the state of the art and the reference scenarios for human-AI based on T2.1. It includes analysis of the applicable standards, including information about their impact on the project’s developments (T2.4).

Detailed Methodology for User Studies and Co-Creation v1

Detailed methodology for user studies and cocreation activities. (T2.6)

Data Management Plan (1)

Data Management Plan v1

The project’s DMP in two versions;

Publikacje

Conference proceedings (10)

Active Learning for Power Grid Security Assessment: Reducing Simulation Cost with Informative Sampling

Autorzy: Gašper Leskovec, Costas Mylonas, Klemen Kenda
Opublikowane w: IS 2025 - DATA MINING AND DATA WAREHAUSES – SIKDD 2025, 2025, ISSN 2630-371X
Wydawca: Jozef Stefan Institute
DOI: 10.70314/IS.2025.SIKDD.11

XAI for All: Can Large Language Models Simplify Explainable AI?

Autorzy: Philip Mavrepis; Georgios Makridis; Georgios Fatouros; Vasileios Koukos; Spyros Theodoropoulos; Maria Margarita Separdani; Dimos Kyriazis
Opublikowane w: Computer Science & Information Technology (CS & IT) – MLDS 2024 Conference Proceedings, Numer Vol. 14, No. 22, pp. 127–144, 2024, ISSN 2231-5403
Wydawca: AIRCC Publishing Corporation
DOI: 10.48550/ARXIV.2401.13110

Architecting Human Oversight in AI-Enabled Software Systems: From Principles to Implementation

Autorzy: George Manias, Vrettos Moulos, Anna Gatzioura, Tanja Zdolsek Draksler, Alenka Gucek, Dimosthenis Kyriazis
Opublikowane w: 2026 IEEE 23rd International Conference on Software Architecture Companion (ICSA-C), 2026
Wydawca: IEEE
DOI: 10.5281/ZENODO.22233989

Co-creation Design Patterns for Human-AI Teaming in Manufacturing and Multi-Domain Decision-Making

Autorzy: Christos Emmanouilidis, Jessica Zotelli, Katharina Hengel, Sabine Waschull, Jos Bokhorst
Opublikowane w: IFAC-PapersOnLine, Numer 59, 2025, ISSN 2405-8963
Wydawca: Elsevier BV
DOI: 10.1016/J.IFACOL.2025.11.869

Skills Composition Framework for Reconfigurable Cyber-Physical Production Modules

Autorzy: Aleksandr Sidorenko, Achim Wagner, Martin Ruskowski
Opublikowane w: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), Numer pp. 1–8, 2024
Wydawca: IEEE
DOI: 10.5281/ZENODO.22013333

Facilitating AI and System Operator Synergy: Active Learning-Enhanced Digital Twin Architecture for Day-Ahead Load Forecasting

Autorzy: Costas Mylonas, Titos Georgoulakis, Magda Foti
Opublikowane w: 2024 International Conference on Smart Energy Systems and Technologies (SEST), 2024
Wydawca: IEEE
DOI: 10.1109/SEST61601.2024.10693980

Integrating Knowledge Graphs and Large Language Models for Querying in an Industrial Environment

Opublikowane w: Proceedings of Data Mining and Data Warehauses – Sikdd 2024, 2024, ISSN 2630-371X
Wydawca: Jožef Stefan Instutute
DOI: 10.70314/IS.2024.SIKDD.5

Towards Using Behavior Trees in Industrial Automation Controllers.

Autorzy: Aleksandr Sidorenko, Mahdi Rezapour, Achim Wagner, Martin Ruskowski
Opublikowane w: Procedia CIRP, Numer 130, 2025, ISSN 2212-8271
Wydawca: Elsevier BV
DOI: 10.48550/ARXIV.2404.14030

Towards Conversational AI for Human-Machine Collaborative MLOps

Autorzy: George Fatouros, Georgios Makridis, George Kousiouris, John Soldatos, Anargyros Tsadimas, Dimosthenis Kyriazis
Opublikowane w: 2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2025, ISSN 2325-2944
Wydawca: IEEE
DOI: 10.48550/ARXIV.2504.12477

Enhancing Ontology Engineering with LLMs: From Search to Active Learning Extensions

Opublikowane w: Proceedings of Data Mining and Data Warehauses – Sikdd 2024, 2024, ISSN 2630-371X
Wydawca: Jožef Stefan Instutute
DOI: 10.70314/IS.2024.SIKDD.28

Peer reviewed articles (7)

Predicting Defect Rates of Printed Circuit Board Assemblies: Towards Zero Defect Manufacturing and Zero-Maintenance Strategies

Autorzy: E. Miedema, H. Kortman, C. Emmanouilidis
Opublikowane w: IFAC-PapersOnLine, Numer 58, 2024, ISSN 2405-8963
Wydawca: Elsevier BV
DOI: 10.1016/J.IFACOL.2024.08.056

HumAIne-Chatbot: Real-Time Personalized Conversational AI via Reinforcement Learning for Public-Interest Digital Services

Autorzy: Georgios Makridis, George Fragiadakis, Jorge Oliveira, Tomaz Saraiva, Philip Mavrepis, Georgios Fatouros, Dimosthenis Kyriazis
Opublikowane w: Journal of Artificial Intelligence for Sustainable Development, Numer 2, 2026, ISSN 3006-7316
Wydawca: African Institute for Mathematical Sciences South Africa
DOI: 10.48550/ARXIV.2509.04303

Neural Computing and Applications

Autorzy: George Fatouros; Kostas Metaxas; John Soldatos; Dimosthenis Kyriazis
Opublikowane w: Neural Computing and Applications, 2024, ISSN 0941-0643
Wydawca: Springer Verlag
DOI: 10.1007/S00521-024-10613-4

A Dynamic Multi-objective Scheduling Approach for Gradient-Based Reinforcement Learning

Autorzy: Katharina Hengel, Achim Wagner, Martin Ruskowski
Opublikowane w: IFAC-PapersOnLine, Numer 58, 2024, ISSN 2405-8963
Wydawca: Elsevier BV
DOI: 10.1016/J.IFACOL.2024.09.087

Towards trustworthy artificial intelligence for decision-making: A lifecycle perspective on knowledge- and data-driven artificial intelligence systems

Autorzy: Emiel Miedema, Sabine Waschull, Christos Emmanouilidis
Opublikowane w: Computers in Industry, Numer 174, 2026, ISSN 0166-3615
Wydawca: Elsevier BV
DOI: 10.1016/J.COMPIND.2025.104409

Asset criticality and risk prediction via machine learning in wind farms: problem-based educational activities in a smart industry operations course

Autorzy: Christos Emmanouilidis, Ype Wijnia
Opublikowane w: IFAC-PapersOnLine, Numer 58, 2024, ISSN 2405-8963
Wydawca: Elsevier BV
DOI: 10.1016/J.IFACOL.2024.08.119

Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection

Autorzy: Georgios Fatouros, Konstantinos Metaxas, John Soldatos, Dimosthenis Kyriazis
Opublikowane w: SSRN Electronic Journal, 2024, ISSN 1556-5068
Wydawca: Elsevier BV
DOI: 10.2139/ssrn.4693849

Book chapters (3)

Integrating Knowledge and Data-Driven Artificial Intelligence for Decisional Enterprise Interoperability

Autorzy: Christos Emmanouilidis, Sabine Waschull, Jessica Zotelli
Opublikowane w: Communications in Computer and Information Science, Innovative Intelligent Industrial Production and Logistics, 2025
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-80775-6_26

Robust Novel Defect Detection with Neurosymbolic AI

Autorzy: Spyros Theodoropoulos, Georgios Makridis, Dimosthenis Kyriazis, Panayiotis Tsanakas
Opublikowane w: IFIP Advances in Information and Communication Technology, Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, 2024
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-71637-9_26

A NeuroSymbolic Human-in-the-Loop Approach Towards Fusing Medical Expert Knowledge with ANNs

Autorzy: Spyros Theodoropoulos, Georgios Makridis, Aristodemos Pnevmatikakis, Vrettos Moulos, Dimosthenis Kyriazis, Panayiotis Tsanakas
Opublikowane w: IFIP Advances in Information and Communication Technology, Artificial Intelligence Applications and Innovations. AIAI 2025 IFIP WG 12.5 International Workshops, 2025, ISSN 1868-4238
Wydawca: Springer Nature Switzerland
DOI: 10.5281/ZENODO.22305677