Public and Expert Insights into Generative AI: The potential for the Financial Industry
dc.contributor.author | Zacharias, Jan | |
dc.contributor.editor | Klein, Maike | |
dc.contributor.editor | Krupka, Daniel | |
dc.contributor.editor | Winter, Cornelia | |
dc.contributor.editor | Gergeleit, Martin | |
dc.contributor.editor | Martin, Ludger | |
dc.date.accessioned | 2024-10-21T18:24:14Z | |
dc.date.available | 2024-10-21T18:24:14Z | |
dc.date.issued | 2024 | |
dc.description.abstract | In the last few years, generative artificial intelligence (gen AI) has become a success factor in various sectors, including the financial industry. Understanding how the industry perceives gen AI is vital for its successful integration. Therefore, we conducted a mixed-methods study consisting of sentiment and subjectivity analyses of finance-related Reddit discussions, combined with expert interviews from global financial institutions. Whereas the public sentiment has a cautious optimism, experts express both strong support and concerns about gen AI implementations in financial institutions. This study contributes to the academic and practical understanding of gen AI’s real-world implications, highlighting the need for well-considered implementation strategies in the financial industry. | en |
dc.identifier.doi | 10.18420/inf2024_129 | |
dc.identifier.eissn | 2944-7682 | |
dc.identifier.isbn | 978-3-88579-746-3 | |
dc.identifier.issn | 2944-7682 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/45102 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | INFORMATIK 2024 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-352 | |
dc.subject | Generative Artificial Intelligence | |
dc.subject | Financial Services | |
dc.subject | Sentiment Analysis | |
dc.title | Public and Expert Insights into Generative AI: The potential for the Financial Industry | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 1500 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 1491 | |
gi.conference.date | 24.-26. September 2024 | |
gi.conference.location | Wiesbaden | |
gi.conference.sessiontitle | Data Analytics as a Service - Challenges and Opportunities (DAS2024) |
Dateien
Originalbündel
1 - 1 von 1
Lade...
- Name:
- Zacharias_Public_and_Expert_Insights_into_Generative_AI.pdf
- Größe:
- 385.8 KB
- Format:
- Adobe Portable Document Format