skip to main content
10.1145/3544549.3585752acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
Work in Progress

Towards a Human-Centred Artificial Intelligence Maturity Model

Published: 19 April 2023 Publication History

Abstract

Artificial intelligence (AI) is becoming a central building block of computational systems. Following the long traditions of human-centered design, Human-Centered AI (HCAI) emphasises the importance of putting humans and various societal considerations in the centre of the development. However, the question is: how to realise HCAI when designing systems that utilise novel computational tools and require consideration of increasingly broad set of requirements, spanning from fairness and transparency to accountability and ethics? The purpose of our study is to support the AI development practices in companies in order for the humans to have AI solutions that are efficient, trustworthy, and safe. To this end, we propose a maturity model for HCAI (HCAI-MM). In this paper we present the first phase of the model development, in which the central building blocks of HCAI are specified and initial company requirements for the model's structure and content are evaluated with four AI developers.

Supplementary Material

MP4 File (3544549.3585752-talk-video.mp4)
Pre-recorded Video Presentation
MP4 File (3544549.3585752-video-figure.mp4)
Video Figure

References

[1]
Alsheiabni, Sulaiman, Yen Cheung, and Chris Messom. 2019. Towards An Artificial Intelligence Maturity Model: From Science Fiction To Business Facts. In Proceedings of PACIS 2019.
[2]
Amershi, Saleema, Andrew Begel, Christian Bird, Robert DeLine, Harald Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, and Thomas Zimmermann. 2019. Software engineering for machine learning: A case study. In Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practise.
[3]
Auernhammer, Jan. 2020. Human-centered AI: The role of Human-centered Design Research in the development of AI. In Synergy - DRS International Conference.
[4]
Becker, Jörg, Ralf Knackstedt, and Jens Pöppelbuß. 2009. Developing maturity models for IT management. Business & Information Systems Engineering 1:3. 213-222.
[5]
van Berkel, Niels, Benjamine Tag, Jorge Goncalves, and Simo Hosio. 2020. Human-centred artificial intelligence: a contextual morality perspective. Behaviour & Information Technology. 1-17.
[6]
Braun, Virginia, and Victoria Clarke. 2012. Thematic analysis. APA handbook of research methods in psychology, Vol. 2: Research designs: Quantitative, qualitative, neuropsychological, and biological. American Psychological Association, Washington.
[7]
De Bruin, Tonia, Michael Rosemann, Ronald Freeze, and Uday Kaulkarni. 2005. Understanding the main phases of developing a maturity assessment model. In Australasian Conference on Information Systems (ACIS). 8-19.
[8]
Bingley, William J., Caitlin Curtis, Steven Lockey, Alina Bialkowski, Nicole Gillespie, S. Alexander Haslam, Ryan KL Ko, Niklas Steffens, Janet Wiles, and Peter Worthy. 2022. Where is the human in human-centered AI? Insights from developer priorities and user experiences. Computers in Human Behavior: 107617.
[9]
Dellermann, Dominik, Adrian Calma, Nikolaus Lipusch, Thorsten Weber, Sascha Weigel, and Philipp Ebel. 2021. The future of human- AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems. arXiv preprint arXiv:2105.03354.
[10]
Dignum, Virginia. 2019. HumanE AI. Project report. Retrieved Jan 10, 2022, from https://www.humane-ai.eu/wp- content/uploads/2019/11/D13-HumaneAI-framework-report.pdf
[11]
Ehsan, Upol, and Mark O. Riedl. 2020. Human-Centered Explainable AI: Towards a Reflective Sociotechnical Approach. In International Conference on Human-Computer Interaction. Springer, Cham, 449-466.
[12]
Feuerriegel, Stefan, Mateusz Dolata, and Gerhard Schwabe. 2020. Fair AI: Challenges and Opportunities. Business & information systems engineering 62:4. 379-384.
[13]
Giacomin, Joseph. 2014. What is human centred design? The Design Journal 17, 4 (2014): 606-623.
[14]
Hagendorff, Thilo. 2020. The ethics of AI ethics: An evaluation of guidelines. Minds and Machines 30, 1 (2020). 99-120.
[15]
Hartikainen, Maria, Kaisa Väänänen, Anu Lehtiö, Saara Ala-Luopa, and Thomas Olsson. 2022. Human-Centered AI Design in Reality: A Study of Developer Companies’ Practices: A study of Developer Companies’ Practices. In Nordic Human-Computer Interaction Conference. 1-11.
[16]
Hesenius, Marc, Nils Schwenzfeier, Ole Meyer, Wilhelm Koop, and Volker Gruhn. 2019. Towards a software engineering process for developing data-driven applications. In Proceedings of 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. ACM, Montreal, 35-41.
[17]
Hill, Charles, Bellamy, Rachel, Erickson, Thomas, and Burnett, Margaret. 2016. Trials and Tribulations of Developers of Intelligent Systems: A Field Study. In 2016 IEEE Symposium on Visual Languages and Human-Centric Computing.162-170.
[18]
IBM Design for AI. Retrieved Jan 2, 2022 from https://www.ibm.com/design/ai/
[19]
Microsoft Responsible AI. Retrieved Jan 2, 2022 from https://www.microsoft.com/en-us/ai/responsible-ai-resources
[20]
PAIR with Google. People + AI Research. Retrieved Jan 3, 2022 from https://pair.withgoogle.com.
[21]
Passi, Samir and Steven J. Jackson. 2018. Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects. Proceedings of the ACM on Human-Computer Interaction, 2. 1-28.
[22]
Perrault, R., Shoham, Y., Brynjolfsson, E., Clark, J., Etchemendy, J., Grosz, B., Lyons, T.,Manyika, J., Niebles, J. C. and S. Mishra. 2019. The AI Index 2019 Annual Report. AI Index Steering Committee. Human-Centered AI Institute. Stanford University.
[23]
Pöppelbuß, Jens, and Maximilian Röglinger. 2011. What makes a useful maturity model? A framework of general design principles for maturity models and its demonstration in business process management. In ECIS 2011 proceedings.
[24]
Sadiq, Raghad Baker, Nurhizam Safie, Abdul Hadi Abd Rahman, and Shidrokh Goudarzi. 2021. Artificial intelligence maturity model: a systematic literature review. PeerJ Computer Science 7. e661.
[25]
Shneiderman, Ben. 2020. Bridging the gap between ethics and practise: Guidelines for reliable, safe, and trustworthy Human-Centered AI systems. ACM Transactions on Interactive Intelligent Systems, 10: 4. 1-31.
[26]
Shneiderman, Ben. 2020. Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy. International Journal of Human–Computer Interaction 36:6. 495-504.
[27]
Wan, Zhiyuan, Xin Xia, David Lo, and Gail C. Murphy. 2019. How Does Machine Learning Change Software Development Practices? IEEE Transactions on Software Engineering, 47:9. 1857-1871.
[28]
Wickramasinghe, Chathurika, S., Daniel L. Marino, Javier Grandio, and Milos Manic. 2020. Trustworthy AI Development Guidelines for Human System Interaction. In International Conference on Human System Interaction. 130-136.
[29]
Wilkens, Uta, Valentin Langholf, Greta Ontrup, and Annette Kluge. 2021. Towards a Maturity Model of Human Centered AI–A Reference for AI Implementation at the Workplace. Forschungsseminar der Wissenschaftlichen Gesellschaft für Arbeits-und Betriebsorganisation (WGAB).
[30]
Xu, Wei. 2019. Toward Human-Centered AI: A Perspective from Human-Computer Interaction. Interactions 26:4. 42-46.

Cited By

View all
  • (2024)tachAId—An interactive tool supporting the design of human-centered AI solutionsFrontiers in Artificial Intelligence10.3389/frai.2024.13541147Online publication date: 12-Mar-2024
  • (2024)Designing Tiny Robots: Engaging Stakeholders in Collaborative AI System DesignProceedings of the 27th International Academic Mindtrek Conference10.1145/3681716.3681722(121-132)Online publication date: 8-Oct-2024
  • (2024)Towards a Non-Ideal Methodological Framework for Responsible MLProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642501(1-17)Online publication date: 11-May-2024
  • Show More Cited By

Index Terms

  1. Towards a Human-Centred Artificial Intelligence Maturity Model

      Recommendations

      Comments

      Please enable JavaScript to view thecomments powered by Disqus.

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
      April 2023
      3914 pages
      ISBN:9781450394222
      DOI:10.1145/3544549
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 19 April 2023

      Check for updates

      Author Tags

      1. artificial intelligence
      2. company practices
      3. human-centered artificial intelligence
      4. human-centered design
      5. maturity models

      Qualifiers

      • Work in progress
      • Research
      • Refereed limited

      Conference

      CHI '23
      Sponsor:

      Acceptance Rates

      Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)376
      • Downloads (Last 6 weeks)78
      Reflects downloads up to 01 Nov 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2024)tachAId—An interactive tool supporting the design of human-centered AI solutionsFrontiers in Artificial Intelligence10.3389/frai.2024.13541147Online publication date: 12-Mar-2024
      • (2024)Designing Tiny Robots: Engaging Stakeholders in Collaborative AI System DesignProceedings of the 27th International Academic Mindtrek Conference10.1145/3681716.3681722(121-132)Online publication date: 8-Oct-2024
      • (2024)Towards a Non-Ideal Methodological Framework for Responsible MLProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642501(1-17)Online publication date: 11-May-2024
      • (2024)Towards a Human-Centred Artificial Intelligence in the Age of Industry 5.0: A Cross-Country Analysis2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)10.1109/WINCOM62286.2024.10655038(1-6)Online publication date: 23-Jul-2024
      • (2024)Enabling Human-Centered AI: A Methodological Perspective2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)10.1109/ICHMS59971.2024.10555771(1-6)Online publication date: 15-May-2024
      • (2024)Past, Present and Future of User-Centred Design Methodologies that Empathise with the User and Generate Better Accessible Experiences. From Theory to PracticeFuture Perspectives on Human-Computer Interaction Research10.1007/978-3-031-71697-3_2(17-43)Online publication date: 25-Oct-2024
      • (2023)Human-Centered Artificial Intelligence: Designing for User Empowerment and Ethical Considerations2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)10.1109/HORA58378.2023.10156761(1-7)Online publication date: 8-Jun-2023

      View Options

      Get Access

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Full Text

      View this article in Full Text.

      Full Text

      HTML Format

      View this article in HTML Format.

      HTML Format

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media