| dc.contributor.author | Papagiannidis, Emmanouil | |
| dc.contributor.author | Enholm, Ida Merete | |
| dc.contributor.author | Dremel, Christian | |
| dc.contributor.author | Mikalef, Patrick | |
| dc.contributor.author | Krogstie, John | |
| dc.date.accessioned | 2022-10-07T06:04:36Z | |
| dc.date.available | 2022-10-07T06:04:36Z | |
| dc.date.created | 2022-01-03T16:18:29Z | |
| dc.date.issued | 2021 | |
| dc.identifier.isbn | 978-3-030-85446-1 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3024385 | |
| dc.description.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. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.ispartof | Proceeding of 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society (I3E 2021) | |
| dc.title | Deploying AI Governance Practices: A Revelatory Case Study | en_US |
| dc.type | Chapter | en_US |
| dc.description.version | acceptedVersion | en_US |
| dc.source.pagenumber | 208-219 | en_US |
| dc.identifier.doi | 10.1007/978-3-030-85447-8_19 | |
| dc.identifier.cristin | 1973899 | |
| cristin.ispublished | true | |
| cristin.fulltext | postprint | |
| cristin.qualitycode | 1 | |
