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

Leistungen

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

Veröffentlichungen

Solving Explainability Queries with Quantification: The Case of Feature Relevancy

Autoren: Huang, X., Izza, Y., & Marques-Silva, J.
Veröffentlicht in: AAAI Conference on Artificial Intelligence, Ausgabe 37(4), 2023, Seite(n) 3996-4006
Herausgeber: AAAI Press
DOI: 10.1609/aaai.v37i4.25514

On Efficiently Explaining Graph-Based Classifiers

Autoren: Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Joao Marques-Silva
Veröffentlicht in: 18th International Conference on Principles of Knowledge Representation and Reasoning Special Session on KR and Machine Learning, 2021, Seite(n) 356-367
Herausgeber: KR

On the tractability of explaining decisions of classifiers

Autoren: Cooper, M. C., & Marques-Silva, J.
Veröffentlicht in: 27th International Conference on Principles and Practice of Constraint Programming, Ausgabe 21, 2021, Seite(n) 21:1–21:18
Herausgeber: 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

Autoren: Joao Marques-Silva, Thomas Gerspacher, Martin Cooper, Alexey Ignatiev, Nina Narodytska
Veröffentlicht in: Proceedings of the 38 th International Conference on Machine Learning, Ausgabe 139, 2021
Herausgeber: PMLR

Eliminating The Impossible, Whatever Remains Must Be True

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

On Explaining Random Forests with SAT

Autoren: Yacine Izza , Joao Marques-Silva
Veröffentlicht in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Herausgeber: IJCAI-21

Feature Necessity & Relevancy in ML Classifier Explanations

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

Reasoning-Based Learning of Interpretable ML Models

Autoren: Alexey Ignatiev, Joao Marques-Silva, Nina Narodytska, Peter J. Stuckey
Veröffentlicht in: 2021, Seite(n) 4458-4465
Herausgeber: Thirtieth International Joint Conference on Artificial Intelligence (IJCAI)
DOI: 10.24963/ijcai.2021/608

Using MaxSAT for Efficient Explanations of Tree Ensembles

Autoren: Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, Joao Marques-Silva
Veröffentlicht in: 2022
Herausgeber: Association for the Advancement of Artificial Intelligence

Disproving XAI Myths with Formal Methods -- Initial Results

Autoren: Joao Marques-Silva
Veröffentlicht in: 2023
Herausgeber: Conference Publishing Services
DOI: 10.48550/arxiv.2306.01744

When learning becomes impossible

Autoren: Nicholas Asher and Julie Hunter
Veröffentlicht in: ACM Conference on Fairness, Accountability, and Transparency (FAccT '22). Association for Computing Machinery, 2022, Seite(n) 107-116
Herausgeber: ACM
DOI: 10.1145/3531146.3533078

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

Autoren: Samuel Kernan Freire, Chaofan Wang, Santiago Ruiz-Arenas, and Evangelos Niforatos.
Veröffentlicht in: CHI Conference on Human Factors in Computing Systems (CHI EA '23), Ausgabe 266, 2023, Seite(n) 1-7
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3544549.3585755

Evaluation of AI-Based Digital Assistants in Smart Manufacturing

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

The Human Factors of AI-Empowered Knowledge Sharing

Autoren: Samuel Kernan Freire
Veröffentlicht in: In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23), Ausgabe 502, 2023, Seite(n) 1–5
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3544549.3577044

Efficient Reasoning about Infeasible One Machine Sequencing

Autoren: Mencía, R., Mencía, C., & Marques-Silva, J.
Veröffentlicht in: International Conference on Automated Planning and Scheduling, Ausgabe 33(1), 2023, Seite(n) 268-276
Herausgeber: 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

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

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

Autoren: Stefan Wellsandt, Mina Foosherian, Alexandros Bousdekis, Bernhard Lutzer, Fotis Paraskevopoulos, Yiannis Verginadis & Gregoris Mentzas
Veröffentlicht 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, Ausgabe 689, 2023, ISBN 978-3-031-43662-8
Herausgeber: Springer, Cham
DOI: 10.1007/978-3-031-43662-8_46

Delivering Trustworthy AI through Formal XAI

Autoren: Joao Marques-Silva, Alexey Ignatiev
Veröffentlicht in: 2022
Herausgeber: Association for the Advancement of Artificial Intelligence

A Scalable Two Stage Approach to Computing Optimal Decision Sets

Autoren: Alexey Ignatiev, Edward Lam, Peter J. Stuckey, Joao Marques-Silva
Veröffentlicht in: 2021
Herausgeber: Association for the Advancement of Artificial Intelligence

Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classification

Autoren: G. Cabodi, P. E. Camurati, A. Ignatiev, J. Marques-Silva, M. Palena and P. Pasini
Veröffentlicht in: Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, Seite(n) 1122-1125
Herausgeber: IEEE
DOI: 10.23919/date51398.2021.9474083

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

Autoren: Stefan Wellsandt, Konstantin Klein, Karl Hribernik, Marco Lewandowski, Alexandros Bousdekis, Gregoris Mentzas, Klaus-DieterThoben
Veröffentlicht in: IFAC-PapersOnLine, Ausgabe Vol 54, Ausgabe 1, 2021, Seite(n) 49-54
Herausgeber: Elsevier
DOI: 10.1016/j.ifacol.2021.08.005

Tractable Explaining of Multivariate Decision Trees

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

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

Autoren: A. Hurault & J. Marques-Silva.
Veröffentlicht in: 2023
Herausgeber: HAL science

AT-Based Rigorous Explanations for Decision Lists

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

Harnessing Large Language Models for Cognitive Assistants in Factories

Autoren: Samuel Kernan Freire, Mina Foosherian, Chaofan Wang, and Evangelos Niforatos
Veröffentlicht in: 5th International Conference on Conversational User Interfaces (CUI '23), Ausgabe 44, 2023, Seite(n) 1-6
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3571884.3604313

Counterfactual Models for Fair and Adequate Explanations

Autoren: Nicholas Asher, Lucas De Lara, Soumya Paul, Chris Russel
Veröffentlicht in: Machine Learning and Knowledge Extraction, Ausgabe 4(2), 2022, Seite(n) 316-349
Herausgeber: MDPI

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

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

A Conversational User Interface for Instructional Maintenance Reports

Autoren: Samuel Kernan Freire; Evangelos Niforatos; Zoltan Rusak; Doris Aschenbrenner; Alessandro Bozzon
Veröffentlicht in: Proceedings of the 4th International Conference on Conversational User Interfaces, CUI 2022, Ausgabe 5, 2022, Seite(n) 1-6
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3543829.3544516

Supporting Data Analytics in Manufacturing with a Digital Assistant

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

An Automated Machine Learning Framework for Predictive Analytics in Quality Control

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

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

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

Adequate and fair explanations

Autoren: Nicholas Asher, Soumya Paul, Chris Russell
Veröffentlicht in: Machine Learning and Knowledge Extraction. CD-MAKE 2021. Lecture Notes in Computer Science, Ausgabe 12844, 2021, Seite(n) 79–97, ISBN 978-3-030-84060-0
Herausgeber: Springer, Cham
DOI: 10.1007/978-3-030-84060-0_6

Anatomy of a Digital Assistant

Autoren: Stefan Wellsandt, Karl Hribernik, Klaus-Dieter Thoben
Veröffentlicht 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, Ausgabe 633, 2021, Seite(n) 321-330, ISBN 978-3-030-85909-1
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-85910-7_34

Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics

Autoren: Alexandros Bousdekis, Stefan Wellsandt, Enrica Bosani, Katerina Lepenioti, Dimitris Apostolou, Karl Hribernik, Gregoris Mentzas
Veröffentlicht 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, Ausgabe 633, 2021, Seite(n) 303-310, ISBN 978-3-030-85909-1
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-85910-7_32

Data-Driven Collaborative Human-AI Decision Making

Autoren: Mentzas, G., K. Lepenioti, A. Bousdekis and D. Apostolou
Veröffentlicht in: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021. Lecture Notes in Computer Science, Ausgabe 12896, 2021, Seite(n) 120–131
Herausgeber: Springer, Cham
DOI: 10.1007/978-3-030-85447-8_11

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

Autoren: Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Veröffentlicht in: IEEE Access, Ausgabe 9, 2021, Seite(n) 100677-100693, ISSN 2169-3536
Herausgeber: 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

Autoren: P. Besse, E. del Barrio, P. Gordaliza, J-M. Loubes, L. Risser
Veröffentlicht in: The American Statistician, Ausgabe 76, 2021, Seite(n) 188-198, ISSN 1537-2731
Herausgeber: Taylor and Francis
DOI: 10.1080/00031305.2021.1952897

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

Autoren: S. K. Freire, S. S. Panicker, S. Ruiz-Arenas, Z. Rusák and E. Niforatos
Veröffentlicht in: IEEE Pervasive Computing, Ausgabe Vol 22. No.1, 2022, Seite(n) 50-58, ISSN 1536-1268
Herausgeber: IEEE Computer Society
DOI: 10.1109/mprv.2022.3218600

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

Autoren: Alexandros Bousdekis; Katerina Lepenioti; Dimitris Apostolou; Gregoris Mentzas
Veröffentlicht in: International Journal of Computer Integrated Manufacturing, Ausgabe 36:5, 2022, Seite(n) 678-701, ISSN 1362-3052
Herausgeber: Taylor & Francis Online
DOI: 10.1080/0951192x.2022.2128219

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

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

Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants

Autoren: Stefan Wellsandt, Konstantin Klein, Karl Hribernik, Marco Lewandowski, Alexandros Bousdekis, Gregoris Mentzas, Klaus-Dieter Thoben
Veröffentlicht in: Annual Reviews in Control, Ausgabe 53, 2022, Seite(n) 382-390, ISSN 1367-5788
Herausgeber: 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

Autoren: Theodora Anastasiou; Sophia Karagiorgou; Petros Petrou; Dimitrios Papamartzivanos; Thanassis Giannetsos; Georgia Tsirigotaki; Jelle Keizer
Veröffentlicht in: Sensors; Volume 22, Ausgabe 18, 2022, Seite(n) 6905, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22186905

Bias in semantic and discourse interpretation

Autoren: Asher, N., Hunter, J. & Paul, S.
Veröffentlicht in: Linguist and Philosophy, Ausgabe 45, 2022, Seite(n) 393–429
Herausgeber: Springer Link
DOI: 10.1007/s10988-021-09334-x

Projection to Fairness in Statistical Learning

Autoren: Gouic, T.L., Loubes, J.M. and Rigollet, P.
Veröffentlicht in: 2020
Herausgeber: eprint arXiv:2005.11720

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