COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy Artificial Intelligence

Informations projet

COALA

N° de convention de subvention: 957296

DOI

10.3030/957296

Projet clôturé

Date de signature de la CE 3 Juillet 2020

Date de début 1 Octobre 2020

Date de fin 30 Septembre 2023

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Coût total

€ 5 706 726,25

Contribution de l’UE

€ 5 706 726,25

Coordonné par

BIBA - BREMER INSTITUT FUER PRODUKTION UND LOGISTIK GMBH
Germany

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (4)

Cognitive advisor service - version 2

The extension of D33 ready for full integration and the documentation

Public videos for enablers

Public videos for the COALA enablers to explain them to a wider audience.

Website, social media presence, and basic media material

Media materials including an initial media kit logo flyer website newsletter service and social media presence

Prescriptive quality analytics service - version 2

The extension of D23 ready for full integration and the documentation

Documents, reports (9)

AI-focused didactic concept for factory workers - interim

A first description of the didactic concept including first materials to apply it

Report on the application of ethical principles for AI in manufacturing - interim

A report describing the projects experiences with the application of AI ethics in manufacturing It will cover the experienced challenges measures to address them and remaining barriers

Joint COALA requirements

A report describing the testable requirements accompanying stakeholder needs wants and believes starting KPIs for the evaluation and the expected measurable benefits

AI-focused didactic concept for factory workers - final

The extension of D32 to create the final didactic concept ready for evaluation

Intent and context recognition assessment report

A brief report that summarizes the assessment procedure the results and the potential measures to address them

AI-support for predictive quality in manufacturing study

A report summarizing the concept and the state of the art for predictive quality

WHY engine theory

A report describing the theory for the engine and the first principles of explainable AI in a digital assistant allowing followup work and first dissemination activities

Report on the application of ethical principles for AI in manufacturing - final

The extension of D73 with updates

Change management process for human-AI collaboration - final

The extension of D51 including any process changes and the experiences and lessons learned

Demonstrators, pilots, prototypes (3)

WHY engine prototype

The demonstrator in ANITIs premises showing the principles of explainable AI in a digital assistant

Digital intelligent assistant core for manufacturing demonstrator - version 2

The extension of D22 ready for full integration dissemination and first exploitation activities

Digital intelligent assistant core for manufacturing demonstrator - version 1

The first implementation of the assistant core software in BIBAs research shop floor and allowing followup work and first dissemination and exploitation activities

Publications

Conference proceedings (30)

Solving Explainability Queries with Quantification: The Case of Feature Relevancy

Auteurs: Huang, X., Izza, Y., & Marques-Silva, J.
Publié dans: AAAI Conference on Artificial Intelligence, Numéro 37(4), 2023, Page(s) 3996-4006
Éditeur: AAAI Press
DOI: 10.1609/aaai.v37i4.25514

On Efficiently Explaining Graph-Based Classifiers

Auteurs: Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Joao Marques-Silva
Publié dans: 18th International Conference on Principles of Knowledge Representation and Reasoning Special Session on KR and Machine Learning, 2021, Page(s) 356-367
Éditeur: KR

On the tractability of explaining decisions of classifiers

Auteurs: Cooper, M. C., & Marques-Silva, J.
Publié dans: 27th International Conference on Principles and Practice of Constraint Programming, Numéro 21, 2021, Page(s) 21:1–21:18
Éditeur: Leibniz International Proceedings in Informatics Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany
DOI: 10.4230/lipics.cp.2021.21

Explanations for Monotonic Classifiers

Auteurs: Joao Marques-Silva, Thomas Gerspacher, Martin Cooper, Alexey Ignatiev, Nina Narodytska
Publié dans: Proceedings of the 38 th International Conference on Machine Learning, Numéro 139, 2021
Éditeur: PMLR

Eliminating The Impossible, Whatever Remains Must Be True

Auteurs: Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Nina Narodytska, Joao Marques-Silva
Publié dans: Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), 2023
Éditeur: Association for the Advancement of Artificial Intelligence
DOI: 10.48550/arxiv.2206.09551

On Explaining Random Forests with SAT

Auteurs: Yacine Izza , Joao Marques-Silva
Publié dans: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Éditeur: IJCAI-21

Feature Necessity & Relevancy in ML Classifier Explanations

Auteurs: Huang, X., Cooper, M.C., Morgado, A., Planes, J., Marques-Silva, J.
Publié dans: Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2023. Lecture Notes in Computer Science, Numéro 13993, 2023, ISBN 978-3-031-30823-9
Éditeur: Publisher NameSpringer, Cham
DOI: 10.1007/978-3-031-30823-9_9

Reasoning-Based Learning of Interpretable ML Models

Auteurs: Alexey Ignatiev, Joao Marques-Silva, Nina Narodytska, Peter J. Stuckey
Publié dans: 2021, Page(s) 4458-4465
Éditeur: Thirtieth International Joint Conference on Artificial Intelligence (IJCAI)
DOI: 10.24963/ijcai.2021/608

Using MaxSAT for Efficient Explanations of Tree Ensembles

Auteurs: Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, Joao Marques-Silva
Publié dans: 2022
Éditeur: Association for the Advancement of Artificial Intelligence

Disproving XAI Myths with Formal Methods -- Initial Results

Auteurs: Joao Marques-Silva
Publié dans: 2023
Éditeur: Conference Publishing Services
DOI: 10.48550/arxiv.2306.01744

When learning becomes impossible

Auteurs: Nicholas Asher and Julie Hunter
Publié dans: ACM Conference on Fairness, Accountability, and Transparency (FAccT '22). Association for Computing Machinery, 2022, Page(s) 107-116
Éditeur: ACM
DOI: 10.1145/3531146.3533078

Tacit Knowledge Elicitation for Shop-floor Workers with an Intelligent Assistant

Auteurs: Samuel Kernan Freire, Chaofan Wang, Santiago Ruiz-Arenas, and Evangelos Niforatos.
Publié dans: CHI Conference on Human Factors in Computing Systems (CHI EA '23), Numéro 266, 2023, Page(s) 1-7
Éditeur: Association for Computing Machinery
DOI: 10.1145/3544549.3585755

Evaluation of AI-Based Digital Assistants in Smart Manufacturing

Auteurs: Bousdekis, A., Mentzas, G., Apostolou, D., Wellsandt, S.
Publié dans: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, Numéro 664, 2022, ISBN 978-3-031-16411-8
Éditeur: Springer Cham
DOI: 10.1007/978-3-031-16411-8_58

The Human Factors of AI-Empowered Knowledge Sharing

Auteurs: Samuel Kernan Freire
Publié dans: In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23), Numéro 502, 2023, Page(s) 1–5
Éditeur: Association for Computing Machinery
DOI: 10.1145/3544549.3577044

Efficient Reasoning about Infeasible One Machine Sequencing

Auteurs: Mencía, R., Mencía, C., & Marques-Silva, J.
Publié dans: International Conference on Automated Planning and Scheduling, Numéro 33(1), 2023, Page(s) 268-276
Éditeur: Association for the Advancement of Artificial Intelligence
DOI: 10.1609/icaps.v33i1.27204

Lessons Learned from Designing and Evaluating CLAICA: A Continuously Learning AI Cognitive Assistant

Auteurs: Samuel Kernan Freire, Evangelos Niforatos, Chaofan Wang, Santiago Ruiz-Arenas, Mina Foosherian, Stefan Wellsandt, and Alessandro Bozzon.
Publié dans: 28th International Conference on Intelligent User Interfaces (IUI '23), 2023
Éditeur: Association for Computing Machinery
DOI: 10.1145/3581641.3584042

Fostering Human-AI Collaboration with Digital Intelligent Assistance in Manufacturing SMEs

Auteurs: Stefan Wellsandt, Mina Foosherian, Alexandros Bousdekis, Bernhard Lutzer, Fotis Paraskevopoulos, Yiannis Verginadis & Gregoris Mentzas
Publié dans: Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, Numéro 689, 2023, ISBN 978-3-031-43662-8
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-43662-8_46

Delivering Trustworthy AI through Formal XAI

Auteurs: Joao Marques-Silva, Alexey Ignatiev
Publié dans: 2022
Éditeur: Association for the Advancement of Artificial Intelligence

A Scalable Two Stage Approach to Computing Optimal Decision Sets

Auteurs: Alexey Ignatiev, Edward Lam, Peter J. Stuckey, Joao Marques-Silva
Publié dans: 2021
Éditeur: Association for the Advancement of Artificial Intelligence

Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classification

Auteurs: G. Cabodi, P. E. Camurati, A. Ignatiev, J. Marques-Silva, M. Palena and P. Pasini
Publié dans: Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, Page(s) 1122-1125
Éditeur: IEEE
DOI: 10.23919/date51398.2021.9474083

Towards Using Digital Intelligent Assistants to Put Humans in the Loop of Predictive Maintenance Systems

Auteurs: Stefan Wellsandt, Konstantin Klein, Karl Hribernik, Marco Lewandowski, Alexandros Bousdekis, Gregoris Mentzas, Klaus-DieterThoben
Publié dans: IFAC-PapersOnLine, Numéro Vol 54, Numéro 1, 2021, Page(s) 49-54
Éditeur: Elsevier
DOI: 10.1016/j.ifacol.2021.08.005

Tractable Explaining of Multivariate Decision Trees

Auteurs: Clement Carbonnel , Martin C. Cooper, Joao Marques-Silva
Publié dans: 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023, ISBN 978-1-956792-02-7
Éditeur: International Joint Conferences on Artificial Intelligence Organization

Certified Logic-Based Explainable AI–The Case of Monotonic Classifiers

Auteurs: A. Hurault & J. Marques-Silva.
Publié dans: 2023
Éditeur: HAL science

SAT-Based Rigorous Explanations for Decision Lists

Auteurs: Ignatiev, A., Marques-Silva, J.
Publié dans: Theory and Applications of Satisfiability Testing – SAT 2021. SAT 2021. Lecture Notes in Computer Science, Numéro 12831, 2021
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-80223-3_18

Harnessing Large Language Models for Cognitive Assistants in Factories

Auteurs: Samuel Kernan Freire, Mina Foosherian, Chaofan Wang, and Evangelos Niforatos
Publié dans: 5th International Conference on Conversational User Interfaces (CUI '23), Numéro 44, 2023, Page(s) 1-6
Éditeur: Association for Computing Machinery
DOI: 10.1145/3571884.3604313

Counterfactual Models for Fair and Adequate Explanations

Auteurs: Nicholas Asher, Lucas De Lara, Soumya Paul, Chris Russel
Publié dans: Machine Learning and Knowledge Extraction, Numéro 4(2), 2022, Page(s) 316-349
Éditeur: MDPI

Break, Repair, Learn, Break Less: Investigating User Preferences for Assignment of Divergent Phrasing Learning Burden in Human-Agent Interaction to Minimize Conversational Breakdowns

Auteurs: Mina Foosherian, Samuel Kernan Freire, Evangelos Niforatos, Karl A. Hribernik, and Klaus-Dieter Thoben
Publié dans: 21st International Conference on Mobile and Ubiquitous Multimedia (MUM '22). Association for Computing Machinery, 2022, Page(s) 151–158
Éditeur: Association for Computing Machinery
DOI: 10.1145/3568444.3568454

A Conversational User Interface for Instructional Maintenance Reports

Auteurs: Samuel Kernan Freire; Evangelos Niforatos; Zoltan Rusak; Doris Aschenbrenner; Alessandro Bozzon
Publié dans: Proceedings of the 4th International Conference on Conversational User Interfaces, CUI 2022, Numéro 5, 2022, Page(s) 1-6
Éditeur: Association for Computing Machinery
DOI: 10.1145/3543829.3544516

Supporting Data Analytics in Manufacturing with a Digital Assistant

Auteurs: Wellsandt, S., Foosherian, M., Lepenioti, K., Fikardos, M., Mentzas, G., Thoben, KD
Publié dans: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, Numéro 664, 2022, ISBN 978-3-031-16411-8
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-16411-8_59

An Automated Machine Learning Framework for Predictive Analytics in Quality Control

Auteurs: Fikardos, M., Lepenioti, K., Bousdekis, A., Bosani, E., Apostolou, D., Mentzas, G.
Publié dans: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, Numéro 663, 2022, ISBN 978-3-031-16407-1
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-16407-1_3

Book chapters (5)

Real-Time Equipment Health State Prediction with LSTM Networks and Bayesian Inference

Auteurs: Afroditi Fouka, Alexandros Bousdekis, Katerina Lepenioti, Gregoris Mentzas
Publié dans: Advanced Information Systems Engineering Workshops - CAiSE 2021 International Workshops, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings, Numéro 423, 2021, Page(s) 155-166, ISBN 978-3-030-79021-9
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-79022-6_13

Adequate and fair explanations

Auteurs: Nicholas Asher, Soumya Paul, Chris Russell
Publié dans: Machine Learning and Knowledge Extraction. CD-MAKE 2021. Lecture Notes in Computer Science, Numéro 12844, 2021, Page(s) 79–97, ISBN 978-3-030-84060-0
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-84060-0_6

Anatomy of a Digital Assistant

Auteurs: Stefan Wellsandt, Karl Hribernik, Klaus-Dieter Thoben
Publié dans: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part IV, Numéro 633, 2021, Page(s) 321-330, ISBN 978-3-030-85909-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-85910-7_34

Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics

Auteurs: Alexandros Bousdekis, Stefan Wellsandt, Enrica Bosani, Katerina Lepenioti, Dimitris Apostolou, Karl Hribernik, Gregoris Mentzas
Publié dans: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part IV, Numéro 633, 2021, Page(s) 303-310, ISBN 978-3-030-85909-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-85910-7_32

Data-Driven Collaborative Human-AI Decision Making

Auteurs: Mentzas, G., K. Lepenioti, A. Bousdekis and D. Apostolou
Publié dans: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021. Lecture Notes in Computer Science, Numéro 12896, 2021, Page(s) 120–131
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-85447-8_11

Peer reviewed articles (7)

Human-Augmented Prescriptive Analytics With Interactive Multi-Objective Reinforcement Learning

Auteurs: Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Publié dans: IEEE Access, Numéro 9, 2021, Page(s) 100677-100693, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3096662

A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set

Auteurs: P. Besse, E. del Barrio, P. Gordaliza, J-M. Loubes, L. Risser
Publié dans: The American Statistician, Numéro 76, 2021, Page(s) 188-198, ISSN 1537-2731
Éditeur: Taylor and Francis
DOI: 10.1080/00031305.2021.1952897

A Cognitive Assistant for Operators: AI-Powered Knowledge Sharing on Complex Systems

Auteurs: S. K. Freire, S. S. Panicker, S. Ruiz-Arenas, Z. Rusák and E. Niforatos
Publié dans: IEEE Pervasive Computing, Numéro Vol 22. No.1, 2022, Page(s) 50-58, ISSN 1536-1268
Éditeur: IEEE Computer Society
DOI: 10.1109/mprv.2022.3218600

Data analytics in quality 4.0: literature review and future research directions

Auteurs: Alexandros Bousdekis; Katerina Lepenioti; Dimitris Apostolou; Gregoris Mentzas
Publié dans: International Journal of Computer Integrated Manufacturing, Numéro 36:5, 2022, Page(s) 678-701, ISSN 1362-3052
Éditeur: Taylor & Francis Online
DOI: 10.1080/0951192x.2022.2128219

Concept of a Voice-Enabled Digital Assistant for Predictive Maintenance in Manufacturing

Auteurs: Stefan Wellsandta, Zoltan Rusak, Santiago Ruiz Arenas, Doris Aschenbrenner, Karl A. Hribernik, Klaus-Dieter Thoben
Publié dans: SSRN Electronic Journal, 2020, ISSN 1556-5068
Éditeur: Elsevier
DOI: 10.2139/ssrn.3718008

Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants

Auteurs: Stefan Wellsandt, Konstantin Klein, Karl Hribernik, Marco Lewandowski, Alexandros Bousdekis, Gregoris Mentzas, Klaus-Dieter Thoben
Publié dans: Annual Reviews in Control, Numéro 53, 2022, Page(s) 382-390, ISSN 1367-5788
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.arcontrol.2022.04.001

Towards Robustifying Image Classifiers against the Perils of Adversarial Attacks on Artificial Intelligence Systems

Auteurs: Theodora Anastasiou; Sophia Karagiorgou; Petros Petrou; Dimitrios Papamartzivanos; Thanassis Giannetsos; Georgia Tsirigotaki; Jelle Keizer
Publié dans: Sensors; Volume 22, Numéro 18, 2022, Page(s) 6905, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22186905

Other (2)

Bias in semantic and discourse interpretation

Auteurs: Asher, N., Hunter, J. & Paul, S.
Publié dans: Linguist and Philosophy, Numéro 45, 2022, Page(s) 393–429
Éditeur: Springer Link
DOI: 10.1007/s10988-021-09334-x

Projection to Fairness in Statistical Learning

Auteurs: Gouic, T.L., Loubes, J.M. and Rigollet, P.
Publié dans: 2020
Éditeur: eprint arXiv:2005.11720