Responsible Use of Artificial Intelligence: Decision-Making Through a Stakeholder Lens
T. Van-Hau, F. Strich, B. Hind, in: 2024.
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Conference Paper
| English
Author
Van-Hau, Trieu;
Strich, FranzLibreCat;
Hind, Benbya
Abstract
The rapid advancement of AI and automation is reshaping virtually every facet of contemporary business and society. Simultaneously, these emerging technologies also give rise to complex challenges for individuals and organizations to navigate. These challenges range from ensuring data privacy, and mitigating bias and discrimination, to maintaining transparency, trust, fairness and autonomy. Moreover, these challenges are differently perceived depending on the stakeholders involved. Our paper proposes a comprehensive framework that provides practical guidance based on 12 groups of questions for stakeholders to consider. We integrated and synthesized knowledge from three areas: responsible AI, stakeholder theory, and decision-making models. Our study seeks to enrich discourses on the responsible use of AI by providing a structured approach incorporating theoretical concepts with real-world applications.
Publishing Year
Conference
Digit 2024
LibreCat-ID
Cite this
Van-Hau T, Strich F, Hind B. Responsible Use of Artificial Intelligence: Decision-Making Through a Stakeholder Lens. In: ; 2024.
Van-Hau, T., Strich, F., & Hind, B. (2024). Responsible Use of Artificial Intelligence: Decision-Making Through a Stakeholder Lens. Digit 2024.
@inproceedings{Van-Hau_Strich_Hind_2024, title={ Responsible Use of Artificial Intelligence: Decision-Making Through a Stakeholder Lens}, author={Van-Hau, Trieu and Strich, Franz and Hind, Benbya}, year={2024} }
Van-Hau, Trieu, Franz Strich, and Benbya Hind. “ Responsible Use of Artificial Intelligence: Decision-Making Through a Stakeholder Lens,” 2024.
T. Van-Hau, F. Strich, and B. Hind, “ Responsible Use of Artificial Intelligence: Decision-Making Through a Stakeholder Lens,” presented at the Digit 2024, 2024.
Van-Hau, Trieu, et al. Responsible Use of Artificial Intelligence: Decision-Making Through a Stakeholder Lens. 2024.