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

Deliverables

Other (3)

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

Documents, reports (6)

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

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

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 (13)

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, 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, 139, 2021
Publisher: PMLR

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

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

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)

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, Vol 54, Issue 1, 2021, Page(s) 49-54
Publisher: Elsevier
DOI: 10.1016/j.ifacol.2021.08.005

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, 12831, 2021
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-80223-3_18

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, 4(2), 2022, Page(s) 316-349
Publisher: MDPI

Book chapters (5)

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, 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, 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, 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, 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, 12896, 2021, Page(s) 120–131
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-85447-8_11

Peer reviewed articles (4)

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

Author(s): Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Published in: IEEE Access, 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, 76, 2021, Page(s) 188-198, ISSN 1537-2731
Publisher: Taylor and Francis
DOI: 10.1080/00031305.2021.1952897

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, 53, 2022, Page(s) 382-390, ISSN 1367-5788
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.arcontrol.2022.04.001

Other (2)

Bias in semantic and discourse interpretation

Author(s): Asher, N., Hunter, J. & Paul, S.
Published in: Linguist and Philosophy, 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