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

Informazioni relative al progetto

COALA

ID dell’accordo di sovvenzione: 957296

DOI

10.3030/957296

Progetto chiuso

Data della firma CE 3 Luglio 2020

Data di avvio 1 Ottobre 2020

Data di completamento 30 Settembre 2023

Finanziato da

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

Costo totale

€ 5 706 726,25

Contributo UE

€ 5 706 726,25

Coordinato da

BIBA - BREMER INSTITUT FUER PRODUKTION UND LOGISTIK GMBH
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Conference proceedings (30)

Solving Explainability Queries with Quantification: The Case of Feature Relevancy

Autori: Huang, X., Izza, Y., & Marques-Silva, J.
Pubblicato in: AAAI Conference on Artificial Intelligence, Numero 37(4), 2023, Pagina/e 3996-4006
Editore: AAAI Press
DOI: 10.1609/aaai.v37i4.25514

On Efficiently Explaining Graph-Based Classifiers

Autori: Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Joao Marques-Silva
Pubblicato in: 18th International Conference on Principles of Knowledge Representation and Reasoning Special Session on KR and Machine Learning, 2021, Pagina/e 356-367
Editore: KR

On the tractability of explaining decisions of classifiers

Autori: Cooper, M. C., & Marques-Silva, J.
Pubblicato in: 27th International Conference on Principles and Practice of Constraint Programming, Numero 21, 2021, Pagina/e 21:1–21:18
Editore: 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

Autori: Joao Marques-Silva, Thomas Gerspacher, Martin Cooper, Alexey Ignatiev, Nina Narodytska
Pubblicato in: Proceedings of the 38 th International Conference on Machine Learning, Numero 139, 2021
Editore: PMLR

Eliminating The Impossible, Whatever Remains Must Be True

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

On Explaining Random Forests with SAT

Autori: Yacine Izza , Joao Marques-Silva
Pubblicato in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Editore: IJCAI-21

Feature Necessity & Relevancy in ML Classifier Explanations

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

Reasoning-Based Learning of Interpretable ML Models

Autori: Alexey Ignatiev, Joao Marques-Silva, Nina Narodytska, Peter J. Stuckey
Pubblicato in: 2021, Pagina/e 4458-4465
Editore: Thirtieth International Joint Conference on Artificial Intelligence (IJCAI)
DOI: 10.24963/ijcai.2021/608

Using MaxSAT for Efficient Explanations of Tree Ensembles

Autori: Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, Joao Marques-Silva
Pubblicato in: 2022
Editore: Association for the Advancement of Artificial Intelligence

Disproving XAI Myths with Formal Methods -- Initial Results

Autori: Joao Marques-Silva
Pubblicato in: 2023
Editore: Conference Publishing Services
DOI: 10.48550/arxiv.2306.01744

When learning becomes impossible

Autori: Nicholas Asher and Julie Hunter
Pubblicato in: ACM Conference on Fairness, Accountability, and Transparency (FAccT '22). Association for Computing Machinery, 2022, Pagina/e 107-116
Editore: ACM
DOI: 10.1145/3531146.3533078

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

Autori: Samuel Kernan Freire, Chaofan Wang, Santiago Ruiz-Arenas, and Evangelos Niforatos.
Pubblicato in: CHI Conference on Human Factors in Computing Systems (CHI EA '23), Numero 266, 2023, Pagina/e 1-7
Editore: Association for Computing Machinery
DOI: 10.1145/3544549.3585755

Evaluation of AI-Based Digital Assistants in Smart Manufacturing

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

The Human Factors of AI-Empowered Knowledge Sharing

Autori: Samuel Kernan Freire
Pubblicato in: In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23), Numero 502, 2023, Pagina/e 1–5
Editore: Association for Computing Machinery
DOI: 10.1145/3544549.3577044

Efficient Reasoning about Infeasible One Machine Sequencing

Autori: Mencía, R., Mencía, C., & Marques-Silva, J.
Pubblicato in: International Conference on Automated Planning and Scheduling, Numero 33(1), 2023, Pagina/e 268-276
Editore: 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

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

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

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

Delivering Trustworthy AI through Formal XAI

Autori: Joao Marques-Silva, Alexey Ignatiev
Pubblicato in: 2022
Editore: Association for the Advancement of Artificial Intelligence

A Scalable Two Stage Approach to Computing Optimal Decision Sets

Autori: Alexey Ignatiev, Edward Lam, Peter J. Stuckey, Joao Marques-Silva
Pubblicato in: 2021
Editore: Association for the Advancement of Artificial Intelligence

Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classification

Autori: G. Cabodi, P. E. Camurati, A. Ignatiev, J. Marques-Silva, M. Palena and P. Pasini
Pubblicato in: Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, Pagina/e 1122-1125
Editore: IEEE
DOI: 10.23919/date51398.2021.9474083

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

Autori: Stefan Wellsandt, Konstantin Klein, Karl Hribernik, Marco Lewandowski, Alexandros Bousdekis, Gregoris Mentzas, Klaus-DieterThoben
Pubblicato in: IFAC-PapersOnLine, Numero Vol 54, Numero 1, 2021, Pagina/e 49-54
Editore: Elsevier
DOI: 10.1016/j.ifacol.2021.08.005

Tractable Explaining of Multivariate Decision Trees

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

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

Autori: A. Hurault & J. Marques-Silva.
Pubblicato in: 2023
Editore: HAL science

SAT-Based Rigorous Explanations for Decision Lists

Autori: Ignatiev, A., Marques-Silva, J.
Pubblicato in: Theory and Applications of Satisfiability Testing – SAT 2021. SAT 2021. Lecture Notes in Computer Science, Numero 12831, 2021
Editore: Springer, Cham
DOI: 10.1007/978-3-030-80223-3_18

Harnessing Large Language Models for Cognitive Assistants in Factories

Autori: Samuel Kernan Freire, Mina Foosherian, Chaofan Wang, and Evangelos Niforatos
Pubblicato in: 5th International Conference on Conversational User Interfaces (CUI '23), Numero 44, 2023, Pagina/e 1-6
Editore: Association for Computing Machinery
DOI: 10.1145/3571884.3604313

Counterfactual Models for Fair and Adequate Explanations

Autori: Nicholas Asher, Lucas De Lara, Soumya Paul, Chris Russel
Pubblicato in: Machine Learning and Knowledge Extraction, Numero 4(2), 2022, Pagina/e 316-349
Editore: MDPI

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

Autori: Mina Foosherian, Samuel Kernan Freire, Evangelos Niforatos, Karl A. Hribernik, and Klaus-Dieter Thoben
Pubblicato in: 21st International Conference on Mobile and Ubiquitous Multimedia (MUM '22). Association for Computing Machinery, 2022, Pagina/e 151–158
Editore: Association for Computing Machinery
DOI: 10.1145/3568444.3568454

A Conversational User Interface for Instructional Maintenance Reports

Autori: Samuel Kernan Freire; Evangelos Niforatos; Zoltan Rusak; Doris Aschenbrenner; Alessandro Bozzon
Pubblicato in: Proceedings of the 4th International Conference on Conversational User Interfaces, CUI 2022, Numero 5, 2022, Pagina/e 1-6
Editore: Association for Computing Machinery
DOI: 10.1145/3543829.3544516

Supporting Data Analytics in Manufacturing with a Digital Assistant

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

An Automated Machine Learning Framework for Predictive Analytics in Quality Control

Autori: Fikardos, M., Lepenioti, K., Bousdekis, A., Bosani, E., Apostolou, D., Mentzas, G.
Pubblicato in: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, Numero 663, 2022, ISBN 978-3-031-16407-1
Editore: 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

Autori: Afroditi Fouka, Alexandros Bousdekis, Katerina Lepenioti, Gregoris Mentzas
Pubblicato in: Advanced Information Systems Engineering Workshops - CAiSE 2021 International Workshops, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings, Numero 423, 2021, Pagina/e 155-166, ISBN 978-3-030-79021-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-79022-6_13

Adequate and fair explanations

Autori: Nicholas Asher, Soumya Paul, Chris Russell
Pubblicato in: Machine Learning and Knowledge Extraction. CD-MAKE 2021. Lecture Notes in Computer Science, Numero 12844, 2021, Pagina/e 79–97, ISBN 978-3-030-84060-0
Editore: Springer, Cham
DOI: 10.1007/978-3-030-84060-0_6

Anatomy of a Digital Assistant

Autori: Stefan Wellsandt, Karl Hribernik, Klaus-Dieter Thoben
Pubblicato in: 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, Numero 633, 2021, Pagina/e 321-330, ISBN 978-3-030-85909-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-85910-7_34

Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics

Autori: Alexandros Bousdekis, Stefan Wellsandt, Enrica Bosani, Katerina Lepenioti, Dimitris Apostolou, Karl Hribernik, Gregoris Mentzas
Pubblicato in: 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, Numero 633, 2021, Pagina/e 303-310, ISBN 978-3-030-85909-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-85910-7_32

Data-Driven Collaborative Human-AI Decision Making

Autori: Mentzas, G., K. Lepenioti, A. Bousdekis and D. Apostolou
Pubblicato in: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021. Lecture Notes in Computer Science, Numero 12896, 2021, Pagina/e 120–131
Editore: 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

Autori: Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Pubblicato in: IEEE Access, Numero 9, 2021, Pagina/e 100677-100693, ISSN 2169-3536
Editore: 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

Autori: P. Besse, E. del Barrio, P. Gordaliza, J-M. Loubes, L. Risser
Pubblicato in: The American Statistician, Numero 76, 2021, Pagina/e 188-198, ISSN 1537-2731
Editore: Taylor and Francis
DOI: 10.1080/00031305.2021.1952897

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

Autori: S. K. Freire, S. S. Panicker, S. Ruiz-Arenas, Z. Rusák and E. Niforatos
Pubblicato in: IEEE Pervasive Computing, Numero Vol 22. No.1, 2022, Pagina/e 50-58, ISSN 1536-1268
Editore: IEEE Computer Society
DOI: 10.1109/mprv.2022.3218600

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

Autori: Alexandros Bousdekis; Katerina Lepenioti; Dimitris Apostolou; Gregoris Mentzas
Pubblicato in: International Journal of Computer Integrated Manufacturing, Numero 36:5, 2022, Pagina/e 678-701, ISSN 1362-3052
Editore: Taylor & Francis Online
DOI: 10.1080/0951192x.2022.2128219

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

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

Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants

Autori: Stefan Wellsandt, Konstantin Klein, Karl Hribernik, Marco Lewandowski, Alexandros Bousdekis, Gregoris Mentzas, Klaus-Dieter Thoben
Pubblicato in: Annual Reviews in Control, Numero 53, 2022, Pagina/e 382-390, ISSN 1367-5788
Editore: 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

Autori: Theodora Anastasiou; Sophia Karagiorgou; Petros Petrou; Dimitrios Papamartzivanos; Thanassis Giannetsos; Georgia Tsirigotaki; Jelle Keizer
Pubblicato in: Sensors; Volume 22, Numero 18, 2022, Pagina/e 6905, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22186905

Other (2)

Bias in semantic and discourse interpretation

Autori: Asher, N., Hunter, J. & Paul, S.
Pubblicato in: Linguist and Philosophy, Numero 45, 2022, Pagina/e 393–429
Editore: Springer Link
DOI: 10.1007/s10988-021-09334-x

Projection to Fairness in Statistical Learning

Autori: Gouic, T.L., Loubes, J.M. and Rigollet, P.
Pubblicato in: 2020
Editore: eprint arXiv:2005.11720