Abstract
This paper builds on the on-going research in industrial AI, namely use cases from Business-to-Business (B2B) factory automation, focusing on Artificial Intelligence (AI) technology and the influence of user experience (UX) design [1]. It aims to provide a) an overview of the found challenges from different resources and domains, b) an overview of proposals for Human-Centered-AI principles, c) a mapping of both in order to analyse if the principles enable solutions to unsolved challenges. The overview contains findings from investigated design and UX challenges when working in the domain of AI and Machine Learning (ML) from a selection of different research papers, mainly from the area of consumer facing products, as well as a comparison with findings and insights from the mentioned use cases in the B2B domain. Differences and similarities have been investigated and addressed, resulting in a list of considerations to be taken into account when designing for AI. As a second step, the paper analyses Human-Centered-AI principles which are proposed as a solution to the design challenges imposed by AI. By mapping the list of challenges to the solutions, this work seeks to initiate a next step in the development of new methods and tools for designing AI. Connecting the dots between the problems and a means to their solution will help form a clearer picture of the current status of designing for AI, and a better understanding of what is important to include in the design process as well as identifying gaps where more work needs to be done.
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Heier, J. (2021). Design Intelligence - Taking Further Steps Towards New Methods and Tools for Designing in the Age of AI. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2021. Lecture Notes in Computer Science(), vol 12797. Springer, Cham. https://doi.org/10.1007/978-3-030-77772-2_13
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