Artificial Intelligence (AI) as a growing digitization technique appears in many contexts as something new and foreign. AI is considered by many as the driving force in the future of digitalization. The finance industry is one of the industries that may be affected since they already have several digitization tools today. Banks have an important function in our society and therefore it’s important for companies and also consumers, to understand what the application of AI can offer. The purpose of this study is to generate a greater understanding of how Artificial Intelligence (AI) is being used in Swedish banks today, which ethics- and regulatory aspects that can affect the implementation of AI and how banks take the future use of AI in consideration. The study is based on a qualitative method where five explorative and semi structured interviews with different banks have been conducted. Respondents consists of two niche banks and three more established banks where 35-60 minutes interviews have been done while the respondents explained how they use AI in daily activities, how they consider ethical aspects regarding the use of AI and how they see the future use of AI in daily activities. This study has come to the conclusion that the banks use AI in different ways and that they value AI differently. Well established banks work more with IT-support for the organization where support is of great importance while the niche banks works with AI from a more holistic perspective with credit- and loan processes in focus. It appears that banks also want to use AI in consideration of money laundering and compliance. This study also presents how banks take the law, ethical aspects and work environment in consideration and how these factors is affected or not affected with the application of AI.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hb-22223 |
| Date | January 2019 |
| Creators | Andersson, Ludvig, Alexandersson, Robin, Lien, Tom |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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