Author:
Böhme Carolin,Graf-Pfohl Claudia,Meusinger Katrin
Abstract
AbstractArtificial Intelligence (AI) is becoming an integral part of various aspects of human life. However, the successful implementation of AI systems poses significant challenges. Delays in the implementation of AI in Germany and Europe indicate hurdles, particularly for small and medium-sized enterprises (SMEs), which are important drivers of the German economy but also have structural disadvantages regarding AI implementation. To ensure that these AI systems are designed to meet the needs and expectations of end-users, Human Centered Design (HCD) has proven to be a promising approach. This paper aims to identify gaps and optimization potentials in the implementation process of AI with consideration of the Human Centered Design. The paper is based on existing literature and case studies to illustrate the benefits of using HCD in AI development and to identify weaknesses and optimization potentials in existing models. The paper concludes with recommendations for future research in this area.
Publisher
Springer Fachmedien Wiesbaden
Reference55 articles.
1. Accenture. (2022). The art of AI maturity: Advancing from practice to performance. https://www.accenture.com/_acnmedia/Thought-Leadership-Assets/PDF-5/Accenture-Art-ofAIMaturity-Report.pdf.
2. Al Ali, A., & Badi, S. (2022). Exploring the impacts of Artificial Intelligence (AI) implementation at individual and team levels: A case study in the UAE government sector. In M. Themistocleous & M. Papadaki (Hrsg.), Information Systems. EMCIS 2021. Lecture notes in business information processing (437). Springer, Cham. https://doi.org/10.1007/978-3-030-95947-0_42.
3. Arslan, A., Cooper, C., Khan, Z., Golgeci, I., & Ali, I. (2022). Artificial intelligence and human workers interaction at team level: A conceptual assessment of the challenges and potential HRM strategies. International Journal of Manpower, 43(1), 75–88.
4. Auernhammer, J. (2020). Human-centered AI: The role of Human-centered Design Research in the development of AI. In S. Boess, M. Cheung, & R. Cain (Hrsg.), Synergy – DRS International Conference 2020, 11–14 August, Held online. https://doi.org/10.21606/drs.2020.282.
5. Bartelheimer, P., Domnick, F., & Siemens, J. (2019). Digitalisierung im Mittelstand: Bestandsaufnahme und Handlungsempfehlungen. Institut der deutschen Wirtschaft Köln (IW).