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Conference Papers Year : 2021

Deploying AI Governance Practices: A Revelatory Case Study

Abstract

In recent years artificial intelligence (AI) has been seen as a technology with the potential for significant impact in enabling firms to get an operational and competitive advantage. However, despite the use of AI, companies still face challenges and cannot quickly realize performance gains. Adding to the above, firms need to introduce robust AI systems and minimize AI risks, which places a strong emphasis on establishing appropriate AI governance practices. In this paper, we build on a single case study approach and examine how AI governance is implemented in order to facilitate the development of AI applications that are robust and do not introduce negative impacts to companies. The study contributes by exploring the main dimensions relevant to AI’s governance in organizations and by uncovering the practices that underpin them.
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hal-03648138 , version 1 (21-04-2022)

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Emmanouil Papagiannidis, Ida Merete Enholm, Chirstian Dremel, Patrick Mikalef, John Krogstie. Deploying AI Governance Practices: A Revelatory Case Study. 20th Conference on e-Business, e-Services and e-Society (I3E), Sep 2021, Galway, Ireland. pp.208-219, ⟨10.1007/978-3-030-85447-8_19⟩. ⟨hal-03648138⟩
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