Skip to main content
SpringerLink
Log in

Advancing an Artificial Intelligence Ethics Framework for Operator 4.0 in Sustainable Factory Automation

  • Conference paper
  • First Online:
Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future (SOHOMA 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1034))

Abstract

The success of Industry 4.0 has led to technological innovations in Operator 4.0 roles and capabilities. This increasing human presence and involvement amongst Artificial Intelligence (AI) solutions, automated and autonomous systems have renewed the ethics challenges of human-centric industrial cyber-physical systems in sustainable factory automation. In this paper, we aim to address these ethics challenges by proposing a new AI ethics framework for Operator 4.0. Founded on the key intersecting ethics dimensions of the IEEE Ethically Aligned Design and the Ethics Guidelines for Trustworthy AI by the European Union’s High-Level Expert Group on AI, this framework is formulated for the primary profiles of the Operator 4.0 typology across transparency, equity, safety, accountability, privacy, and trust. This framework provides a level of completeness, where all ethics dimensions are closely intertwined, and no component is applied in isolation for physical, mental, and cognitive operator workloads and interactions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Romero, D. et al.: Towards an operator 4.0 typology: a human-centric perspective on the fourth industrial revolution technologies. In: Proceedings of the International Conference on Computers and Industrial Engineering (CIE46), pp. 29–31. Tianjin, China (2016)

    Google Scholar 

  2. Gely, C., Trentesaux, D., Pacaux-Lemoine, M.-P., Sénéchal, O.: Human-machine cooperation with autonomous CPS in the context of industry 4.0: a literature review. In: International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, pp. 327–342. Springer (2020)

    Google Scholar 

  3. Romero, D., Bernus, P., Noran, O., Stahre, J., Fast-Berglund, Å.: The operator 4.0: human cyber-physical systems and adaptive automation towards human-automation symbiosis work systems. In: IFIP International Conference on Advances in Production Management Systems, pp. 677–686. Springer (2016)

    Google Scholar 

  4. Lu, Y., Xu, X., Wang, L.: Smart manufacturing process and system automation—a critical review of the standards and envisioned scenarios. J. Manuf. Syst. 56, 312–325 (2020)

    Article  Google Scholar 

  5. Osterrieder, P., Budde, L., Friedli, T.: The smart factory as a key construct of industry 4.0: a systematic literature review. Int. J. Prod. Econom. 221, 107476 (2020)

    Google Scholar 

  6. Sekaran, S.C., Yap, H.J., Musa, S.N., Liew, K.E., Tan, C.H., Aman, A.: The implementation of virtual reality in digital factory—a comprehensive review. Int. J. Adv. Manuf. Technol. 1–18 (2021)

    Google Scholar 

  7. Schlund, S., Schmidt, M.: Robotic process automation in industrial engineering: challenges and future perspectives. In: International Conference on Applied Human Factors and Ergonomics, pp. 320–327. Springer (2021)

    Google Scholar 

  8. Karnouskos, S.: Symbiosis with artificial intelligence via the prism of law, robots, and society. Artif. Intell. Law 1–23 (2021)

    Google Scholar 

  9. De Silva, D., Sierla, S., Alahakoon, D., Osipov, E., Yu, X., Vyatkin, V.: Toward intelligent industrial informatics: a review of current developments and future directions of artificial intelligence in industrial applications. IEEE Ind. Electron. Mag. 14(2), 57–72 (2020)

    Article  Google Scholar 

  10. Adikari, A., De Silva, D., Alahakoon, D., Yu, X.: A cognitive model for emotion awareness in industrial Chatbots. In: IEEE 17th International Conference on Industrial Informatics (INDIN), vol. 1. pp. 183–186. IEEE (2019)

    Google Scholar 

  11. Wang, Y., Alahakoon, D., De Silva, D.: An extended cognitive situation model for capturing subjective dynamics of events from social media. Australasian J. Inform. Syst. 22 (2018)

    Google Scholar 

  12. Madhavi, I., Chamishka, S., Nawaratne, R., Nanayakkara, V., Alahakoon, D., De Silva, D.: A deep learning approach for work related stress detection from audio streams in cyber physical environments. In: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), vol. 1. pp. 929–936. IEEE (2020)

    Google Scholar 

  13. Karnouskos, S.: Self-driving car acceptance and the role of ethics. IEEE Trans. Eng. Manage. 67(2), 252–265 (2018)

    Article  Google Scholar 

  14. Trentesaux, D., Karnouskos, S.: Engineering Ethical Behaviors in Autonomous Industrial Cyber-Physical Human Systems, pp. 1–14. Cognition, Technology and Work (2021)

    Google Scholar 

  15. Berrah, L., Trentesaux, D.: Decision-making in future industrial systems: is ethics a new performance indicator? In: International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, pp. 231–245. Springer (2020)

    Google Scholar 

  16. IEEE: The IEEE global initiative on ethics of autonomous and intelligent systems. Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems, vol. V2, IEEE (2017)

    Google Scholar 

  17. European Commission: AI ethics guidelines by the high-level expert group on artificial intelligence, ed. European Commission (2019)

    Google Scholar 

  18. Jobin, A., Ienca, M., Vayena, E.: The global landscape of AI ethics guidelines. Nature Mach. Intell. 1(9), 389–399 (2019)

    Article  Google Scholar 

  19. Hagendorff, T.: The ethics of AI ethics: an evaluation of guidelines. Mind. Mach. 30(1), 99–120 (2020)

    Article  Google Scholar 

  20. Mittelstadt, B.: Principles alone cannot guarantee ethical AI. Nature Mach. Intell. 1(11), 501–507 (2019)

    Article  Google Scholar 

  21. European Commission: Proposal for a regulation of the European Parliament and of the council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts (2021)

    Google Scholar 

  22. Smuha, N.A.: The EU approach to ethics guidelines for trustworthy artificial intelligence. Comput. Law Rev. Int. 20(4), 97–106 (2019)

    Article  Google Scholar 

  23. Gull, M.A., Bai, S., Bak, T.: A review on design of upper limb exoskeletons. Robotics 9(1), 16 (2020)

    Article  Google Scholar 

  24. Pesenti, M., Antonietti, A., Gandolla, M., Pedrocchi, A.J.S.: Towards a functional performance validation standard for industrial low-back exoskeletons: state of the art review. 21(3), 808 (2021)

    Google Scholar 

  25. Nguiadem, C., Raison, M., Achiche, S.: Motion planning of upper-limb exoskeleton robots: a review. Appl. Sci. 10(21), 7626 (2020)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centre for Data Analytics and Cognition, La Trobe University, Victoria, Australia

    Donna Burnett, Nicole El-Haber, Damminda Alahakoon & Daswin De Silva

  2. Research, SAP, Walldorf, Germany

    Stamatis Karnouskos

Authors
  1. Donna Burnett
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nicole El-Haber
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Damminda Alahakoon
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Stamatis Karnouskos
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Daswin De Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Daswin De Silva .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, Polytechnic University Hauts de France, Valenciennes, France

    Damien Trentesaux

  3. Research Centre in Digitalization and Intelligent Robotics, Polytechnic Institute of Bragança, Bragança, Portugal

    Paulo Leitão

  4. LS2N, UMR CNRS 6004, IUT de Nantes, University of Nantes, Carquefou, France

    Olivier Cardin

  5. Arts et Métiers Institute of Technology LISPEN, HESAM Université UBFC, Cluny, France

    Laurent Joblot

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Burnett, D., El-Haber, N., Alahakoon, D., Karnouskos, S., De Silva, D. (2022). Advancing an Artificial Intelligence Ethics Framework for Operator 4.0 in Sustainable Factory Automation. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Joblot, L. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2021. Studies in Computational Intelligence, vol 1034. Springer, Cham. https://doi.org/10.1007/978-3-030-99108-1_26

Download citation

Publish with us

Policies and ethics

Search

Navigation