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

Risultati finali

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

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

Pubblicazioni

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

AT-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

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

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

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

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