Mapping and Mitigating the Pains of Responsible Artificial Intelligence Implementation: An Analysis of Swiss Organizations
Viganò, E., Hauser, C., Cacciatori, E. ORCID: 0000-0001-6229-7266 , Ferrario, A. & Sedlakova, J. (2025).
Mapping and Mitigating the Pains of Responsible Artificial Intelligence Implementation: An Analysis of Swiss Organizations.
In:
2025 IEEE Swiss Conference on Data Science (SDS).
2025 IEEE Swiss Conference on Data Science (SDS), 26-27 Jun 2025, Zürich, Switzerland.
doi: 10.1109/sds66131.2025.00023
Abstract
Despite the proliferation of Responsible Artificial Intelligence (RAI) principles, organizations struggle to translate them into practical implementation. This study investigates the challenges Swiss organizations face in implementing RAI through qualitative interviews with industry professionals and academic experts, complemented by a multi-stakeholder workshop. We first identify five critical pain points hampering RAI implementation: economic constraints, structural and procedural barriers, conceptual and technical challenges, cultural and behavioral resistance, and regulatory uncertainty. Then we propose the Control-Tangibility Framework, a novel framework that maps pain points along two fundamental dimensions: organizational control and challenge tangibility. Our framework provides organizations with a structured methodology to prioritize RAI efforts by considering both their ability to influence change and their capacity to observe aspects of the challenges. Furthermore, we provide practical insights for developing targeted implementation strategies that bridge the gap between ethical principles and operational practices. Our findings suggest that successful RAI implementation requires moving beyond compliance-focused approaches toward a comprehensive organizational transformation, supported by systematic assessment and prioritization of implementation challenges.
Publication Type: | Conference or Workshop Item (Paper) |
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Additional Information: | © 2025 IEEE. |
Publisher Keywords: | Economics, Resistance, Ethics, Uncertainty, Systematics, Pain, Organizations, Cultural differences, Artificial intelligence, Faces |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Departments: | Bayes Business School Bayes Business School > Faculty of Management |
SWORD Depositor: |
Available under License Creative Commons Attribution.
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