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Multi-disciplinary Learning and Innovation for Professional Design of AI-Powered Services

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Design, Learning, and Innovation (DLI 2021)

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Abstract

Companies face several challenges when adopting Artificial Intelligence (AI) technologies in their service and product offerings. Adaptive behavior that changes over time, such as personalization, affects end-user experiences in sometimes unpredictable ways, making designing for AI-powered experiences difficult to prototype and evaluate. To fully make use of AI technologies, companies need new tools, methods, and knowledge that relate to their specific design context. This includes learning how to adapt design and development processes to fit AI-powered services, communication in cross-functional teams, and continuous competency development strategies. This paper reports on an innovation and learning program called AI.m that facilitates practical learning about how to use emerging AI technologies for human-centered design. The program has been executed for 15 companies and evaluated using interviews with researchers, design practitioners, and company representatives that have worked within the learning program. This study suggests and verifies a productive and efficient learning environment and process where companies, university research departments, and design agencies collaborate to produce AI-powered services and at the same time develop their competency in AI and human-centered design. The qualitative analysis provides a set of categories of learning implications organized as a framework of prompts to help organizations develop AI and design capabilities.

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Notes

  1. 1.

    www.aimhalland.se.

  2. 2.

    https://h5halmstad.se/.

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Authors and Affiliations

  1. School of Information Technology, Halmstad University, Halmstad, Sweden

    Pontus Wärnestål

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  1. Pontus Wärnestål
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Correspondence to Pontus Wärnestål .

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Editors and Affiliations

  1. Department of Culture and Learning, Aalborg University, Aalborg, Denmark

    Eva Brooks

  2. Halmstad University, Halmstad, Sweden

    Jeanette Sjöberg

  3. Aalborg University, Aalborg, Denmark

    Anders Kalsgaard Møller

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Wärnestål, P. (2022). Multi-disciplinary Learning and Innovation for Professional Design of AI-Powered Services. In: Brooks, E., Sjöberg, J., Møller, A.K. (eds) Design, Learning, and Innovation. DLI 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 435. Springer, Cham. https://doi.org/10.1007/978-3-031-06675-7_2

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  • DOI: https://doi.org/10.1007/978-3-031-06675-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06674-0

  • Online ISBN: 978-3-031-06675-7

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