CORDIS - EU research results
CORDIS

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

Deliverables

Cognitive advisor service - version 2

The extension of D33 ready for full integration and the documentation

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

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

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

Solving Explainability Queries with Quantification: The Case of Feature Relevancy

Author(s): Huang, X., Izza, Y., & Marques-Silva, J.
Published in: AAAI Conference on Artificial Intelligence, Issue 37(4), 2023, Page(s) 3996-4006
Publisher: AAAI Press
DOI: 10.1609/aaai.v37i4.25514

On Efficiently Explaining Graph-Based Classifiers

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

On the tractability of explaining decisions of classifiers

Author(s): Cooper, M. C., & Marques-Silva, J.
Published in: 27th International Conference on Principles and Practice of Constraint Programming, Issue 21, 2021, Page(s) 21:1–21:18
Publisher: 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

Author(s): Joao Marques-Silva, Thomas Gerspacher, Martin Cooper, Alexey Ignatiev, Nina Narodytska
Published in: Proceedings of the 38 th International Conference on Machine Learning, Issue 139, 2021
Publisher: PMLR

Eliminating The Impossible, Whatever Remains Must Be True

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

On Explaining Random Forests with SAT

Author(s): Yacine Izza , Joao Marques-Silva
Published in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Publisher: IJCAI-21

Feature Necessity & Relevancy in ML Classifier Explanations

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

Reasoning-Based Learning of Interpretable ML Models

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

Using MaxSAT for Efficient Explanations of Tree Ensembles

Author(s): Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, Joao Marques-Silva
Published in: 2022
Publisher: Association for the Advancement of Artificial Intelligence

Disproving XAI Myths with Formal Methods -- Initial Results

Author(s): Joao Marques-Silva
Published in: 2023
Publisher: Conference Publishing Services
DOI: 10.48550/arxiv.2306.01744

When learning becomes impossible

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

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

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

Evaluation of AI-Based Digital Assistants in Smart Manufacturing

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

The Human Factors of AI-Empowered Knowledge Sharing

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

Efficient Reasoning about Infeasible One Machine Sequencing

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

Constraint-Driven Explanations of Black-Box ML Models

Author(s): Aditya Aniruddha Shrotri, Nina Narodytska, Alexey Ignatiev, Joao Marques-Silva, Kuldeep S. Meel, Moshe Vardi
Published in: 2021
Publisher: International Conference on Learning Representations (ICLR)

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

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

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

Author(s): Stefan Wellsandt, Mina Foosherian, Alexandros Bousdekis, Bernhard Lutzer, Fotis Paraskevopoulos, Yiannis Verginadis & Gregoris Mentzas
Published 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, Issue 689, 2023, ISBN 978-3-031-43662-8
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-43662-8_46

Delivering Trustworthy AI through Formal XAI

Author(s): Joao Marques-Silva, Alexey Ignatiev
Published in: 2022
Publisher: Association for the Advancement of Artificial Intelligence

A Scalable Two Stage Approach to Computing Optimal Decision Sets

Author(s): Alexey Ignatiev, Edward Lam, Peter J. Stuckey, Joao Marques-Silva
Published in: 2021
Publisher: Association for the Advancement of Artificial Intelligence

Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classification

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

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

Author(s): Stefan Wellsandt, Konstantin Klein, Karl Hribernik, Marco Lewandowski, Alexandros Bousdekis, Gregoris Mentzas, Klaus-DieterThoben
Published in: IFAC-PapersOnLine, Issue Vol 54, Issue 1, 2021, Page(s) 49-54
Publisher: Elsevier
DOI: 10.1016/j.ifacol.2021.08.005

Tractable Explaining of Multivariate Decision Trees

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

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

Author(s): A. Hurault & J. Marques-Silva.
Published in: 2023
Publisher: HAL science

AT-Based Rigorous Explanations for Decision Lists

Author(s): Ignatiev, A., Marques-Silva, J.
Published in: Theory and Applications of Satisfiability Testing – SAT 2021. SAT 2021. Lecture Notes in Computer Science, Issue 12831, 2021
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-80223-3_18

Harnessing Large Language Models for Cognitive Assistants in Factories

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

Counterfactual Models for Fair and Adequate Explanations

Author(s): Nicholas Asher, Lucas De Lara, Soumya Paul, Chris Russel
Published in: Machine Learning and Knowledge Extraction, Issue 4(2), 2022, Page(s) 316-349
Publisher: MDPI

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

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

A Conversational User Interface for Instructional Maintenance Reports

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

Supporting Data Analytics in Manufacturing with a Digital Assistant

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

An Automated Machine Learning Framework for Predictive Analytics in Quality Control

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

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

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

Adequate and fair explanations

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

Anatomy of a Digital Assistant

Author(s): Stefan Wellsandt, Karl Hribernik, Klaus-Dieter Thoben
Published 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, Issue 633, 2021, Page(s) 321-330, ISBN 978-3-030-85909-1
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-85910-7_34

Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics

Author(s): Alexandros Bousdekis, Stefan Wellsandt, Enrica Bosani, Katerina Lepenioti, Dimitris Apostolou, Karl Hribernik, Gregoris Mentzas
Published 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, Issue 633, 2021, Page(s) 303-310, ISBN 978-3-030-85909-1
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-85910-7_32

Data-Driven Collaborative Human-AI Decision Making

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

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

Author(s): Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Published in: IEEE Access, Issue 9, 2021, Page(s) 100677-100693, ISSN 2169-3536
Publisher: 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

Author(s): P. Besse, E. del Barrio, P. Gordaliza, J-M. Loubes, L. Risser
Published in: The American Statistician, Issue 76, 2021, Page(s) 188-198, ISSN 1537-2731
Publisher: Taylor and Francis
DOI: 10.1080/00031305.2021.1952897

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

Author(s): S. K. Freire, S. S. Panicker, S. Ruiz-Arenas, Z. Rusák and E. Niforatos
Published in: IEEE Pervasive Computing, Issue Vol 22. No.1, 2022, Page(s) 50-58, ISSN 1536-1268
Publisher: IEEE Computer Society
DOI: 10.1109/mprv.2022.3218600

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

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

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

Author(s): Stefan Wellsandta, Zoltan Rusak, Santiago Ruiz Arenas, Doris Aschenbrenner, Karl A. Hribernik, Klaus-Dieter Thoben
Published in: SSRN Electronic Journal, 2020, ISSN 1556-5068
Publisher: Elsevier
DOI: 10.2139/ssrn.3718008

Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants

Author(s): Stefan Wellsandt, Konstantin Klein, Karl Hribernik, Marco Lewandowski, Alexandros Bousdekis, Gregoris Mentzas, Klaus-Dieter Thoben
Published in: Annual Reviews in Control, Issue 53, 2022, Page(s) 382-390, ISSN 1367-5788
Publisher: 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

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

Bias in semantic and discourse interpretation

Author(s): Asher, N., Hunter, J. & Paul, S.
Published in: Linguist and Philosophy, Issue 45, 2022, Page(s) 393–429
Publisher: Springer Link
DOI: 10.1007/s10988-021-09334-x

Projection to Fairness in Statistical Learning

Author(s): Gouic, T.L., Loubes, J.M. and Rigollet, P.
Published in: 2020
Publisher: eprint arXiv:2005.11720

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