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Public and Expert Insights into Generative AI: The potential for the Financial Industry

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dc.contributor.authorZacharias, Jan
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:14Z
dc.date.available2024-10-21T18:24:14Z
dc.date.issued2024
dc.description.abstractIn 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.doi10.18420/inf2024_129
dc.identifier.isbn978-3-88579-746-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45102
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectGenerative Artificial Intelligence
dc.subjectFinancial Services
dc.subjectSentiment Analysis
dc.titlePublic and Expert Insights into Generative AI: The potential for the Financial Industryen
dc.typeText/Conference Paper
gi.citation.endPage1500
gi.citation.publisherPlaceBonn
gi.citation.startPage1491
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitleData Analytics as a Service - Challenges and Opportunities (DAS2024)

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